Data Scientist Engineer

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8762146

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15/07/2026

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced and visionary Data Engineer to help design, build, and scale our BI platform.
In this role, you will be responsible for developing our data analytics platform - enabling scalable data pipelines and robust data modeling to support real-time and batch analytics to provide insights that serve both business intelligence and product needs.
You will be part of the R&D team, collaborating closely with engineers, analysts, and product managers to deliver a modern data architecture that supports internal dashboards and future-facing operational analytics.
If you enjoy turning raw data into powerful insights and owning the full data lifecycle, this role is for you!
Responsibilities
Take full ownership of the design and implementation of a scalable and efficient BI data infrastructure, ensuring high performance, reliability, and security.
Design and architect data products, from ingestion to transformation, modeling, storage, and access.
Build and maintain ETL/ELT pipelines, batch and real-time, to support analytics, reporting, and product integrations.
Establish and enforce best practices for data quality, lineage, observability, and governance to ensure accuracy and consistency.
Integrate modern tools and frameworks such as Airflow, Databricks, Power BI, and streaming platforms.
Collaborate cross-functional with product, engineering, and analytics teams to translate business needs into data infrastructure.
Promote a data-driven culture - be an advocate for data-driven decision-making across the company by empowering stakeholders with reliable and self-service data access.

Requirements:
Requirements
5+ years of hands-on experience in data engineering and in building data products for analytics and business intelligence.
Experience working on data developments using AI tools and agentic workflows.
Strong hands-on experience with ETL orchestration tools (Apache Airflow), and data lake houses (Databricks is an advantage)
Vast knowledge in both batch processing and streaming processing (e.g., Kafka, Spark Streaming).
Proficiency in Python, SQL, and cloud data engineering environments (AWS, Azure, or GCP).
Familiarity with data visualization tools (Power BI, Looker, or similar).
BSc in Computer Science or a related field from a leading university
Nice to have:
Experience working on early-stage projects, building data systems from scratch.
Background in building operational analytics pipelines, in which analytical data feeds real-time product business logic.
Experience in cost optimization in modern cloud environments.
Knowledge of data governance principles, compliance, and security best practices.

This position is open to all candidates.

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8739902

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19/07/2026

Data Analytics Architect

חברה חסויה

Location: Lod and Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

abra professional services is seeking a Data Analytics Architect / Principal Data Engineer We are looking for a skilled Data Analytics Architect / Principal Data Engineer to lead the organization’s analytics data domain, design large-scale data architecture, build advanced analytical models, define organizational data modeling standards, and implement innovative AI and LLM-based technologies. This role requires deep expertise in data engineering, analytics, BI, SQL, PostgreSQL, data modeling, performance optimization, data governance, and the integration of AI tools into data engineering processes. A full-time hybrid position based in Central Israel. The first 4–6 months will be based in Tel Aviv, followed by a transition to the Lod area. The position includes 1 day a week remote. Key Responsibilities:
* Design and develop data architecture that supports large-scale analytics and business intelligence.
* Lead the design and implementation of complex data models and enterprise data modeling solutions.
* Define organizational standards, methodologies, and best practices in the data domain.
* Optimize database performance, analytical queries, and reporting processes.
* Lead LLM-based development and implement AI tools within data engineering processes.
* Mentor data engineers, conduct code reviews and architecture reviews.
* Collaborate with management and business stakeholders to build a technological roadmap.
* Establish frameworks for data quality and data governance.
* Lead initiatives to improve the reliability and stability of BI and analytics systems.
* Evaluate new technologies and lead the adoption of innovative solutions across the organization.
* Lead the design and implementation of end-to-end analytics platforms.

Requirements:
Requirements: must have requirements: • Bachelor’s degree in Computer Science, Data Science, Statistics, or another relevant field, or equivalent professional experience. • At least 5 years of experience in Data Engineering, with a focus on Analytics and BI. • Expert-level SQL skills. • Deep experience with PostgreSQL, including performance tuning and optimization. • At least 3 years of experience with Python for data processing, automation, and testing. • At least 3 years of experience designing and implementing large-scale data models. • Experience leading performance optimization in complex data systems. • Experience establishing and implementing Data Governance and Data Quality processes. • Proven ability to translate business requirements into data architecture and technological solutions. • Experience providing technical leadership, mentoring, and leading technological initiatives. • Experience building Data and Analytics platforms from scratch. • Proven experience integrating AI and LLM tools into development and data engineering processes. Advantages: • Experience in FinTech or financial organizations. • Deep familiarity with regulation, information security, and compliance requirements. • Experience working with Data Lakes and Data Warehouses. • Experience with orchestration tools and ELT / ETL processes. • Experience working in cloud environments such as AWS, GCP, or Azure. • Familiarity with streaming technologies and real-time data processing. • Experience leading technology teams or professional excellence groups. Personality requirements: • Fast learning ability and curiosity for new technologies and methodologies. • Strategic thinking and broad system-wide perspective. • Ability to lead and influence without formal authority. • Ability to work independently and manage multiple tasks simultaneously. • High personal responsibility and ability to receive professional feedback. • Initiative, creativity, and ability to solve complex problems. • High motivation and constant drive for excellence. • Excellent interpersonal communication skills and ability to work with multiple stakeholders. • Ability to driv

This position is open to all candidates.

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8742948

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15/07/2026

Data Architect

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Data Architect to help define and evolve the data architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable data systems, set technical direction for how data is ingested, modeled, stored, and served, and guide teams in making high-quality architectural decisions that balance delivery speed with long-term sustainability.
This is a hands-on, senior technical leadership role: you will spend most of your time shaping data architectures with teams, reviewing data models, pipelines and critical code, and driving shared standards and patterns across the organization, all in an advanced agentic environment.
Responsibilities:
Define and evolve the data architecture for key domains (ingestion, ELT/ETL, data modeling, storage, APIs, integration, observability, governance, and security), including owning the lakehouse/medallion architecture (bronze/silver/gold) and the data flows that move data across layers at scale.
Translate business and product requirements into pragmatic data designs, data contracts, and architecture roadmaps; create and maintain architecture artefacts (data flow/lineage diagrams, ADRs, reference implementations, modeling guidelines).
Evaluate design options and technology choices, articulate trade-offs, and lead decision-making with stakeholders; push forward the agentic mindset and implementation across the data platform.
Partner with squad leads and senior engineers to design data solutions, break down complex problems, and keep implementations aligned with the target architecture; participate in design/tech reviews to ensure NFRs (performance, scalability, data quality, resilience, security, operability) are addressed early.
Provide hands-on support where it matters most: spike and prototype critical data flows, review complex PRs, and help debug tricky production data and pipeline issues.

Requirements:
8+ years of experience in software / data engineering, including several years in a senior / staff / architect role designing complex data systems.
Strong experience designing modern data platforms and distributed data architectures (lakehouse/warehouse, batch and streaming/event-driven patterns, robust data APIs).
Experience working with columnar/serialization data formats such as AVRO and Parquet, including schema evolution and storage trade-offs.
Experience with DBT and ELT management tools for building, testing, and maintaining transformation pipelines.
Experience with Apache Airflow (or comparable orchestration tooling) for scheduling and managing data workflows.
Experience working with Databricks (or Snowflake) and medallion architecture (bronze/silver/gold).
Experience building SaaS data infrastructure, including CI/CD, ETL/data pipeline observability, and data quality monitoring.
Proven ability to design for scale, performance, security, and reliability in production SaaS environments.
Hands-on experience with at least one major language and ecosystem used in our stack (e.g., Python, SQL, Java, or similar).
Proven agentic experience - as hands-on experience and as architecting GenAI systems.
Comfortable reading and reviewing code, guiding implementation, and occasionally building prototypes or reference implementations.
Nice to have:
Experience with financial services, B2B SaaS, or integrations with large enterprise customers (e.g., banks).
Background in analytics, BI, or ML-adjacent systems and feature/data pipelines for ML.
Familiarity with data governance, lineage, cataloging, and master data management.
Familiarity with domain-driven design, event sourcing, or CQRS patterns.
Solid understanding of cloud-native architecture (e.g., AWS/Azure/GCP), containers, and infrastructure-as-code practices.

This position is open to all candidates.

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8739901

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2 ימים

Data Science Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.

Responsibilities

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

Requirements:
Proven experience as a Data Scientist.
Proven experience designing and maintaining large-scale data platforms (hundreds of TBs)
3+ years of proven experience leading and managing a team of data engineers (people management is required)
4+ years of experience in data science, including a strong Python programming background, advanced SQL skills, and data modeling experience
Expertise with data orchestration tools (Airflow, Prefect, or Dagster)
Cloud platform experience - GCP preferred (AWS/Azure acceptable)
Familiarity with Docker
Strong communication, mentorship, and collaboration skills
BSc/MSc in Mathematics/ physics/ statistics/ Computer Science.
Fluent English (spoken and written)

This position is open to all candidates.

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8762145

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22/07/2026

Data Engineering Team Leader

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced Data Engineering Team Leader.

In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.

A day in the life and how youll make an impact:

Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

Requirements:
5+ years of Data Engineering experience (preferably in a startup), with a focus on designing and implementing scalable, analytics-ready data models and cloud data warehouses (e.g., BigQuery, Snowflake).
Minimum 3 years in a leadership role, with a proven history of guiding teams to success.
Expertise in modern data orchestration and transformation frameworks (e.g., Airflow, DBT).
Deep knowledge of databases (schema design, query optimization) and familiarity with NoSQL use cases.
Solid understanding of cloud data services (e.g., AWS, GCP) and streaming platforms (e.g., Kafka, Pub/Sub).
Fluent in Python and SQL, with a backend development focus (services, APIs, CI/CD).
Excellent communication skills, capable of simplifying complex technical concepts.
Experience with, or strong interest in, leveraging AI and automation for efficiency gains.
Passionate about technology, proactively identifying and implementing tools to enhance development velocity and maintain high standards.
Adaptable and resilient in dynamic, fast-paced environments, consistently delivering results with a strong can-do attitude.
B.Sc. in Computer Science / Engineering or equivalent.

This position is open to all candidates.

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8749421

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20/07/2026

Senior Data Platform Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Data Platform Engineer to join our growing Platform team and help build the foundation that powers our products, analytics, and data-driven decision making.

In this role, you will design, build, and operate the core data infrastructure that enables engineering teams to move fast while maintaining reliability, scalability, and operational excellence. You will work across databases, streaming systems, data lakes, cloud infrastructure, and platform services, solving complex challenges around scale, performance, and resilience.

As a senior engineer, you will play a key role in shaping our data architecture, driving technical decisions, and mentoring other engineers.

Responsibilities
Design, build, and operate scalable data platform services and infrastructure.
Develop high-quality software for distributed systems and data-intensive applications.
Design and optimize data storage solutions across operational databases, data lakes, and analytical systems.
Drive database performance improvements through query optimization, indexing strategies, schema design, and capacity planning.
Build and maintain event-driven architectures and streaming data pipelines.
Develop and improve data ingestion, transformation, orchestration, and processing frameworks.
Partner with product, engineering, analytics, and AI teams to deliver scalable and reliable data solutions.
Improve platform reliability, observability, and operational excellence through automation and engineering best practices.
Build and enhance CI/CD pipelines, deployment processes, and developer tooling.
Lead architecture discussions and contribute to long-term platform strategy.
Troubleshoot complex production issues and drive root-cause analysis and preventative improvements.
Mentor engineers through code reviews, technical guidance, and knowledge sharing.

Requirements:
Requirements
5+ years of experience building and operating large-scale backend, platform, or data infrastructure systems.
Strong programming skills in Python, Go, or Node.js.
Deep understanding of distributed systems, scalability, reliability, and performance optimization.
Strong experience with relational databases such as PostgreSQL or MySQL.
Strong experience with NoSQL databases such as MongoDB, DynamoDB, Cassandra, or similar technologies.
Proven experience optimizing database performance, query execution, indexing strategies, and large-scale data models.
Experience designing and operating data lakes and large-scale storage systems.
Experience building and maintaining data pipelines and ETL/ELT workflows.
Experience with event-driven architectures and messaging platforms such as Kafka.
Hands-on experience with cloud platforms, preferably AWS.
Experience with Docker, Kubernetes, and Infrastructure as Code tools such as Terraform.
Strong experience with monitoring, observability, and production troubleshooting.
Excellent communication and collaboration skills.

This position is open to all candidates.

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8746446

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23/07/2026

Data Engineer II - GenAI

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Req ID: 20718

As a Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.

Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Requirements:
Qualifications & Skills:

Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.

Minimum of 3 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.

You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.

You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)

Strong programming skills in languages such as Python and Java.

Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Experience with Data Warehousing and ETL/ELT pipelines

Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.

Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.

Experience of working on products that impact a large customer base - an advantage.

Excellent communication in English; written and spoken.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8752220

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23/07/2026

Senior Data Engineer I - GenAI Foundation Models

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Req ID: 21679

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.

Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Requirements:
Qualifications & Skills:

Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.

Minimum of 6 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.

You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.

You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)

Strong programming skills in languages such as Python and Java.

Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Experience with Data Warehousing and ETL/ELT pipelines

Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.

Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.

Experience of working on products that impact a large customer base - an advantage.

Excellent communication in English; written and spoken.

This position is open to all candidates.

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8752218

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אירעה שגיאה בשליחת פרטיך למשרה

15/07/2026

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

This is a software engineering role. You'll build and operate the backbone of Fiverr's data platform: distributed pipelines, warehouse infrastructure, and production services processing billions of events, each of which believes it is the most important one. If you think of yourself as an engineer first who happens to work with data, read on. Join our dynamic Data department as a Senior Data Engineer, where you'll play a pivotal role in launching a critical new data product. This is an opportunity to elevate our engineering rigor and deliver innovative solutions for the world's most popular freelance marketplace, tackling complex challenges in distributed data systems and backend engineering. This is not an analytics role: you won't be building dashboards, you'll be building the systems dashboards depend on and never thank.

What am I going to do?:

* Architect and design robust schemas, ensuring scalability and performance. Bonus points if they still make sense to you at 2am during an incident.
* Build production-ready features end to end: data pipelines, backend services, and user-facing elements when needed. Your center of gravity is the backend and data systems.
* Orchestrate and optimize data pipelines, guaranteeing reliable and timely data delivery. You know the difference between a DAG that is elegant and one that is a cry for help.
* Provide technical leadership to enhance software engineering standards across the team, mentoring other developers.
* Treat performance and cloud cost as first-class design constraints across storage, compute, and pipelines.
* Collaborate daily with engineers, analysts, and business stakeholders, who all speak slightly different dialects of data. You will be fluent in all of them.

Equal opportunities:
At Fiverr, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.

Requirements:
* You practice real software engineering: automated testing, code review, CI/CD, and observability, applied to services rather than notebooks.
* BSc/MSc in Computer Science or a related engineering field, or equivalent deep software engineering experience.
* 5+ years as a software or data engineer building production systems, not analytics or BI roles with some pipeline work. You have been paged before, and you have the scars and the runbooks to show for it.
* You have designed and operated data warehouse architecture at TB+ scale, including partitioning, cost optimization, and query performance tuning.
* You have built and operated distributed data pipelines at meaningful scale, with frameworks like Spark, Kafka, or Flink, and orchestration tools like Airflow or Prefect.
* You write production-grade Python (or Java/Scala) daily, building services and libraries rather than scripts, clean enough that the next person never has to send you a strongly worded Slack message. Strong CS fundamentals are assumed: data structures, algorithms, concurrency, and distributed systems design. SQL is table stakes.
* You excel at complex system integration and have a proven track record of leading technical initiatives and mentoring other engineers. Working with AI We build with AI, not just alongside it. Agents write real code here: engineers direct them, review their output, and own what ships. You'll also build AI systems yourself, including our new agentic BI solution. Expect to design pipelines that agents can operate, and to write the evals and guardrails that make them trustworthy. The question is not whether you use AI, it's how much leverage you can safely get from it, while staying on budget. If your idea of fun involves benchmarking two orchestration tools just to see which one cries first, we should talk!

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8738693

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המשרה נמחקה

תוכל לצפות בה בדף המשרות שלי

המשרה הוחזרה לרשימת תוצאות החיפוש

האם תרצה להסיר את המשרה מרשימת

המשרות השמורות שלך?

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אירעה שגיאה בשליחת פרטיך למשרה

28/06/2026

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

We are looking for a talented Data Engineer to help build and enhance the data platform that supports analytics, operations, and data-driven decision-making across the organization. You will work hands-on to develop scalable data pipelines, improve data models, ensure data quality, and contribute to the continuous evolution of our modern data ecosystem.
Youll collaborate closely with Senior Engineers, Analysts, Data Scientists, and stakeholders across the business to deliver reliable, well-structured, and well-governed data solutions.

Requirements:
2-5+ years of experience as a Data Engineer or similar role.
Hands-on experience with Snowflake (mandatory)-including SQL, modeling, and basic optimization.
Experience with dbt (or similar)-model development, tests, documentation, and version control workflows.
Strong SQL skills for data modeling and analysis.
Proficiency with Python for pipeline development and automation.
Experience working with orchestration tools (Airflow, Dagster, Prefect, or equivalent).
Understanding of ETL/ELT design patterns, data lifecycle, and data modeling best practices.
Familiarity with cloud environments (AWS, GCP, or Azure).
Knowledge of data quality, observability, or monitoring concepts.
Good communication skills and the ability to collaborate with cross-functional teams.
Nice to Have:
Exposure to streaming/event technologies (Kafka, Kinesis, Pub/Sub).
Experience with data governance or cataloging tools.
Basic understanding of ML workflows or MLOps concepts.
Experience with infrastructure-as-code tools (Terraform, CloudFormation).
Familiarity with testing frameworks or data validation tools.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8713860

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