Data Engineer Team Lead

25/04/2024

Data Engineer Team Lead

חברה חסויה

Location: Merkaz

Job Type: Full Time

We are looking for an experienced and visionary Data Engineering Team Lead to play a pivotal role in our data engineering process and execution across our product portfolio. In this leadership position, you will lead a talented team of Data Engineers, steering the development and maintenance of optimized and highly available data pipelines that underpin our data-driven decision-making. Data stack is very vast and can be delivered from multiple App Store Optimization data sources such as Google, Apple, App intelligence platforms, Attribution platforms, etc.

Responsibilities:
Leading the data engineering team and working closely with cross-functional teams.
Effectively manage tasks and workflows using Jira, ensuring timely completion and adherence to project timelines.
Monitor pipelines and alerts through email and Slack, promptly addressing any issues that may arise.
Identify bottlenecks within processes and strategize solutions to ensure smooth project execution.
Collaborate with team members to plan and prioritize tasks, understanding the specific needs and requirements for successful project delivery.
Oversee the maintenance of data-related resources, including MySQL, BigQuery, Postgres/TSDB, with a focus on monitoring, upgrading, optimizing, and developing these systems.
Design and maintain Airflow data pipelines, creating new procedures for monitoring and managing datasets to support both internal and external clients.
Review and analyze Pull Requests (PRs) and Code Reviews (CRs) to maintain code quality and consistency.
Roles & Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs.
Prepare data for analytical or operational uses.
Design, build, test, and maintain data pipelines to bring together information from multiple systems.
Represent data insights.

Requirements:
Proven experience in data engineering with a strong track record of leadership and project management.
Strong communication and collaboration skills.
In-depth knowledge of data engineering technologies, ETL processes, and data warehousing.
5+ years of Data Engineering experience.
2+ years of experience as a DBA.
4+ years of Python experience.
Full proficiency in SQL.
Experience in Database design and performance optimization.
Work in a cloud environment.
Coding
Communication skills
Methodicalness
Self learner
Analytical
Cross-functional Team Leadership

This position is open to all candidates.

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נאספה מאתר אינטרנט

11/04/2024

Senior Data Engineer (EMEA)

חברה חסויה

Location: Bnei Brak

Job Type: Full Time

We are looking for a Senior Data Engineer (EMEA).
As a Senior Data Engineer, youll join our data engineering team, working alongside AI engineers, data scientists, backend engineers, analysts, and the BI team.
In this crucial role, you will take part in building our next-generation data platform that will advance us as a data-driven company.
Youll collaborate with different departments to identify data sources that shed light on every aspect of our product, including user behavior, new feature adoption, operational, financial, marketing KPIs, and more.
You will work with cutting-edge technologies and address the business needs of other department members, based on an in-depth understanding of our business and landscape.
Responsibilities:
End-to-end development of company data infrastructure
Build and design high-performance, near real-time ETL/ELT processes incorporating current and new data stack tools such as Airflow, AWS, Kubernetes, Databricks, dbt, Spark, and Kafka.
Build and design data platform components to enable clients to produce and consume data
Develop, implement, and maintain change control, testing processes, and monitoring infrastructure
Build and design self-serve components that can speed up the development cycle and time to market
Research and implement best practices and new approaches to our current data stack and systems
Deliver software solutions through iterative and agile processes while maintaining software quality and stability to current systems

Requirements:
5+ years of experience in data engineering or backend engineering roles - a must
Strong knowledge of backend programming languages (Python, Java, Go, Scala, or similar) - a must
Deep knowledge and strong experience deploying distributed data technologies and systems (Spark, Kafka, Airflow, or similar) - a must
Strong and proven knowledge working with data lakes, lakehouses, and data warehouses in the cloud (Databricks, Snowflake, Trino, Cloud Storage, or similar)
Advanced proficiency working with SQL / NoSQL databases
Strong experience with ETL/ELT processes, data ingestion, data transformation, data modeling, and monitoring

This position is open to all candidates.

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נאספה מאתר אינטרנט

11/04/2024

Senior Data Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll join our data engineering team, working alongside AI engineers, data scientists, backend engineers, analysts, and the BI team.
In this crucial role, you will take part in building our next-generation data platform that will advance us as a data-driven company.
Youll collaborate with different departments to identify data sources that shed light on every aspect of our product, including user behavior, new feature adoption, operational, financial, marketing KPIs, and more.
You will work with cutting-edge technologies and address the business needs of other department members, based on an in-depth understanding of our business and landscape.
Responsibilities:
End-to-end development of company data infrastructure
Build and design high-performance, near real-time ETL/ELT processes incorporating current and new data stack tools such as Airflow, AWS, Kubernetes, Databricks, dbt, Spark, and Kafka.
Build and design data platform components to enable clients to produce and consume data
Develop, implement, and maintain change control, testing processes, and monitoring infrastructure
Build and design self-serve components that can speed up the development cycle and time to market
Research and implement best practices and new approaches to our current data stack and systems
Deliver software solutions through iterative and agile processes while maintaining software quality and stability to current systems

This position is open to all candidates.

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נאספה מאתר אינטרנט

01/05/2024

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
Deep understanding of the business needs, technical requirements and the companys roadmap - and translating it into custom made data solutions and scalable products.
Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.

Requirements:
B.A / B.Sc degree in a highly quantitative field - a must.
4-5 years hands on experience as a Data Engineer querying data warehouses (SQL), structuring data processes using quantitative techniques - a must.
Fast learner with high attention to details, and proven ability to multitask on several projects at a time. - a must.
Practical experience in Python and Infrastructure in data context. a must.
High analytical skills and the ability to deep dive into details. a must.
Google Cloud Data tools (BigQuery, Cloud Composer/Airflow) - a must.
AutoML, DataFlow, Neo4J - a plus.
Practical experience with distributed data processing like Spark - a plus.
Experienced in analyzing data, and gaining insights - a plus.
Experience working for a data driven company on a large scale - a plus.

This position is open to all candidates.

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פורסם ע"י המעסיק

09/05/2024

Senior Data Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

As a Senior Data Engineer at CodeValue, you'll play a crucial role in our data team, contributing to the development and maintenance of scalable data pipelines and systems. You'll be at the forefront of designing, implementing, and optimizing data solutions that drive our business objectives and empower data-driven decision-making processes. Collaboration with data analysts, data scientists, and other stakeholders will be essential to ensure data integrity, reliability, and accessibility. Responsibilities:
* Design, develop, and optimize data pipelines and architectures using a variety of technologies and tools including Python, SQL, Spark, Kafka, and Airflow.
* Develop efficient data models to facilitate storage, retrieval, and processing, with a focus on schema design for NoSQL databases, data lakes, and data warehouses.
* Ensure scalability of big data architecture to handle large data volumes and high traffic loads.
* Implement data quality checks, validation processes, and data governance measures to ensure accuracy and consistency of data.
* Monitor, troubleshoot, and debug data issues and performance bottlenecks.
* Implement security measures such as encryption, access controls, and data masking to protect sensitive data.
* Research and evaluate new data technologies and best practices to enhance data engineering processes and solutions.

Top Profiles:
Top Profiles

Requirements:
* 4+ years of experience in data engineering or related roles.
* Proficiency in Python and SQL, with familiarity in other programming languages such as Java, Scala, etc.
* Experience with big data technologies and frameworks like Spark, Hadoop, Hive, etc.
* Familiarity with data streaming and messaging platforms such as Kafka, RabbitMQ, etc.
* Expertise in high-performance, near real-time ETL/ELT processes incorporating current and emerging data stack tools like Airflow, AWS, Kubernetes, Databricks, dbt, Spark, and Kafka.
* Experience with cloud platforms and services like AWS, GCP, Azure, etc.
* Ability to work independently and as part of a team in a fast-paced and dynamic environment.
* Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience.

This position is open to all candidates.

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נאספה מאתר אינטרנט

14/04/2024

Data Engineer

חברה חסויה

Location: Jerusalem and Bnei Brak

Job Type: Full Time and Hybrid work

Our Data Engineers are responsible for building and operating the data systems to deliver value to the end users and to internal users, by expanding and optimizing the data pipelines and data services, ensuring data integrity and driving a data-driven culture. In addition, you will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This is an amazing opportunity to get into on the ground floor and have a direct hand in designing our companys data architecture to support our first generation of products and data initiatives.

Our ideal candidate is experienced with data pipeline builders and data wranglers, and someone who enjoys optimizing data systems and building them from the ground up. Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products and comfortable working in a fast-paced and often pivoting environment.

Responsibilities
* Build and maintain our data repositories with timely and quality data
* Build and maintain data pipelines from internal databases and SaaS applications
* Create and maintain architecture and systems documentation
* Write maintainable, performant code
* Implement the DevOps, DataOps and FinOps philosophy in everything you do
* Collaborate with Data Analysts and Data Scientists to drive efficiencies for their work
* Collaborate with other functions to ensure data needs are addressed
* Constantly search for automation opportunities
* Constantly improve product quality, security, and performance
* Desire to continually keep up with advancements in data engineering practices

Requirements:
* At least 3 years of professional experience building and maintaining production data systems in cloud environments like GCP
* Professional experience using JavaScript and/or other modern programming language
* Demonstrably deep understanding of SQL and analytical data warehouses
* Experience with NOSQL databases, eg: ElasticSearch, Mongo, Firestore, BigTable
* Hands-on experience with data pipeline tools (eg: Dataflow, Airflow, dbt)
* Strong data modeling skills
* Experience with MLOps - advantage
* Familiarity with agile software development methodologies
* Ability to work 3 days a week in-office (Jerusalem or Bnei Brak)

This position is open to all candidates.

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נאספה מאתר אינטרנט

28/04/2024

BI Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time and Hybrid work

We are looking for an experienced BI Engineer to join our Finance & Operations department.
In this role you will:
Effectively collaborate with our leadership team, product managers, sales and marketing teams, and other stakeholders to scope scalable data infrastructure and analysis approaches to complex business questions.
Develop and optimize ELT/ETL workflows to power business and product analyses based on multiple data sources.
Build compelling data visualizations, reports, and dashboards to serve data-driven decision-making processes.
Create reports, dashboards, responses to ad hoc requests, forecasts, etc. utilizing our data warehouse and other sources of data.
Be a one-person show and collaborate with our data analyst for fast delivery.
Bring in industry best-practices to help pursue the goal of becoming a data-driven company.

Requirements:
4+ years experience in a technical role as a BI Engineer or data lead in SaaS company, in an internal BI function.
Proven hands-on experience in developing data pipelines and ETL processes.
Strong command of SaaS metrics like ARR, net retention, funnel conversion rates, etc.
Proven experience working with Tableau to create compelling visualizations.
Experience with writing complex SQL queries.
Experience with data modeling, data warehouse implementation, and maintenance.
Ability to collaborate with multiple stakeholders, including go-to-market and more technical teams.
Experience training end-users, rolling out new products, and driving them to full adoption.
Proven record of merging multiple data sources to develop a single source of truth for reporting needs.
A self-learning, self-starter attitude with an enthusiasm to work in a fast-paced, team-oriented start-up environment.
A passion for analytics and strong analytical skills.
Excellent project and task management skills.
Fluent in English and Hebrew - high-level written and verbal communication skills.
Advantages
Prior experience with Snowflake and Rivery
Prior experience with other tools and languages such as PowerBI and Python.
Prior experience with companies combining subscription and consumption-based revenue.

This position is open to all candidates.

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נאספה מאתר אינטרנט

08/05/2024

Senior Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for an exceptional data engineer to join our journey to create a data-based platform that will transform the shipping industry.
As a senior data engineer, you will take an instrumental part in laying the foundations and building the data infrastructure in the company, plan and implement the relevant data infrastructure and tools, be in charge of pipelining the companys data and be responsible for the integrity of the data as we scale up.
Responsibilities:
Contribute to the ongoing management of the data team platform including platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues
Designing and optimizing data storage solutions, including data warehouses and data lakes.
Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Developing and maintaining data pipelines for efficient extraction, transformation, and loading (ETL) processes.
Participate in proofs-of-concept on platform innovation, and effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.

Requirements:
BSc or MSc degree in Computer Engineering, Computer Science or a related discipline
8+ years of experience in data/ software engineering within a production environment
Strong programming skills (e.g., Python,, SQL).
Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP)
Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB, Spark)
Proficiency in data modeling and database management.

This position is open to all candidates.

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נאספה מאתר אינטרנט

4 ימים

data Engineer

חברה חסויה

Location:

Job Type: Full Time

we are looking for data Engineer to work on data processing pipeline and lead our data lake and data warehouse building, to help to deliver more insights and scale our data infrastructure. You will have a chance to contribute to the company's evolving culture, bring innovative approaches and learn from your talented colleagues.
Designs and develops programs and tools to support data ingestion, curation, and provision of complex enterprise data to achieve analytics and reporting on our current technology stack Designs and builds data extracts, integrations, and transformations Provides successful deployment and provisioning of data solutions to required environments Designs and builds data architecture and applications that successfully enable speed, quality, and efficiency pipelines Interacts with cross-functional customers and development team to gather and define requirements Develops understanding of the data and builds business acumen Reviews discrepancies in requirements and resolves with stakeholders integrations are automated and have proper exception handling

Requirements:
Bachelor or Masters degree in technical discipline such as Computer Science, Information Systems, Mathematics, Engineering (or another technical field).
3 years as a data Engineer on a data, analytics, or data science team Experience with building streaming pipelines at scale using Spark Advanced experience with AWS cloud services Advanced working SQL experience as well as performance turning Experience with data pipeline workflow management tools such as Airflow Experience working with agile methodologies and working in cross-functional teams

This position is open to all candidates.

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נאספה מאתר אינטרנט

06/05/2024

Data Engineer Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

We are looking for a Data Engineer Team Lead to join our Data Engineering team in Tel Aviv.

You will be leading one of our data platform teams, that is responsible for processing, storing, and serving data for all our core systems.

What Youll Do:

Lead and mentor a data lake team within our data organization.
Drive high-level projects with company-wide visibility.
Manage the team roadmap, team building, and SW project execution.
Collaborate with stakeholders, including developers, product managers, and business operations.
Take full ownership of end-to-end feature development, from design to production. Contribute to building and designing innovative big data solutions.
Research core technologies and integrate with external APIs and services.

Requirements:
BSc in Computer Science or related degree.
2+ years of experience in leading an engineering team.
6+ years of data engineering experience as a developer, tech lead, or architect.
4+ years of experience in Java.
Strong system architecture knowledge.
Experience in building high-volume and scalable applications.
Proficiency with cluster technologies, distributed systems, or streaming applications.
Familiarity with SQL and NoSQL databases.
Experience with pipelines/ Spark/ Kafka.
Experience with Vertica/ Redis/ Elasticsearch/ Hadoop.
Familiarity with Scrum methodologies.
AWS Service Experience.
Working knowledge of Linux, Docker, Kubernetes, CI/CD, and rollout plans.
Excellent spoken and written English communication skills.
Proactive team player with a desire to impact our engineering team, product, and customers.

This position is open to all candidates.

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נאספה מאתר אינטרנט

21/04/2024

Senior Big Data Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are searching for an innovative and experienced Senior Big Data Engineer that will join us and be part of our big data group.
As a Senior Big Data Engineer, you will:
Lead the architecture and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.
Derive policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes.
Design and develop smart ML infrastructure in order to build Agile ML processes (MLOps).
Work with Data Scientists to understand needs and design ML infrastructure solutions
Be a part of a collaborative heterogeneous data team which includes developers, data scientists, data engineers, MLOps and data scouts.

Requirements:
BSc / MSc degree in Computer Science/ Engineering / Mathematics or Statistics
At least 5 years of experience working as a Data Engineer or Data Architect or ML Engineer
At least 3 years of experience working in high level software development, preferably in Python
Proven hands-on experience in designing, developing and optimizing complex solutions that move and/or manipulate large volumes of data
Sound understanding of different big data file formats such as Parquet, Arrow, HDF5, etc.
Experience with Docker, Linux, CI/CD tools and concepts, Kubernetes.
Experience with data pipelining tools such as Airflow, Kubeflow, MLFlow and similar technologies.
Hands-on experience with large-scale distributed computing systems and related technologies (e.g., Spark, Hive)
Understanding of ML concepts and processes.
Result oriented, self-motivated, fast learner, can do attitude and a great team player
Advantage:
Experience and understanding of various storage solutions (NFS, S3, software defined distributed storage, etc.)
Experience working with data versioning tools such as DVC, LakeFS, GitLFS or similar technologies.
Experience working with AWS data processing tools and concepts.
Experience with large, offline on-premises production deployments.
Experience with Pandas, Numpy, Jupyter notebook.
Hands-on experience in lower-level programming languages such as C++ or RUST.

This position is open to all candidates.

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