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

07/04/2024

Senior Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, driving a multitude of responsibilities essential to fueling our groundbreaking R&D endeavors. Youll have the autonomy to explore and implement cutting-edge technologies and data solutions, collaborating with diverse team of data scientists, developers, analysts, and stakeholders. Every day will present new learning opportunities and challenges as we strive together to reshape the future of work.
Responsibilities:
Design, develop, and maintain scalable data pipelines and infrastructure to support the collection, processing, and analysis of large volumes of data.
Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data requirements and develop solutions that meet business needs.
Implement best practices for data governance, security, and quality assurance to ensure the integrity and reliability of our data assets.
Optimize and tune existing data pipelines and processes for improved performance and efficiency.
Stay up to date with current best practices in the big data field.
Mentor and coach other members of the data engineering team, providing guidance and support to help them grow their skills and expertise.

Requirements:
5+ years of experience working as a data engineer or similar role, with a proven track record of designing and implementing data solutions MUST.
Proficiency in programming languages such as Python, Java, or Scala, with experience building and maintaining data pipelines using frameworks like Apache Spark, Apache Kafka, or similar.
Strong SQL skills and experience working with relational and non-relational databases (e.g., MySQL, MongoDB).
Hands-on experience with cloud platforms such as AWS, GCP, or Azure, and familiarity with services like AWS Glue, Google BigQuery, or Azure Data Factory.
Hands-on experience with ETL/ELT processes, data ingestion, data transformation, data modeling, and monitoring.
Deep experience of one or more of these technologies: Airflow, dbt, Snowflake, Presto / Trino, Kafka, SQS, Sagemaker, Kubernetes, Argo, Terraform, Debezium.
Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and communicate technical concepts to non-technical stakeholders.
Quick learner, team player, independent, imaginative and motivated individual with a passion for data!

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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פורסם ע"י המעסיק

21/03/2024

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

7 ימים

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

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

4 ימים

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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נאספה מאתר אינטרנט

05/04/2024

Big Data Expert

חברה חסויה

Location: Petah Tikva

Job Type: Full Time

We are interested in welcoming a Big Data Expert to our diligent Big Data team and take overall responsibility for developing, executing, and maintaining strategy and workflow while anticipating possible consequences, changes, and trends.
We believe that the perfect candidate possesses excellent leadership, communication, and social skills to build an effective and motivated team, utilizing the full potential of the skills and expertise of each member.
Responsibilities and tasks include:
Implementation, tuning and ongoing administration of Big Data infrastructure on Hadoop cluster and other NoSQL platforms
Managing end-to-end availability, monitoring performance, and planning capacity using a variety of open source and developed toolsets
Research and perfect best practices to support implementation of new features and solutions in Big Data and NoSQL space
Perform all levels of DBA support (e.g., plan and coordinate patching/upgrades)
Manage database backup and recovery
Troubleshoot and resolve database/application issues in a timely manner, tuning performance at the DB and SQL levels

Requirements:
Minimum 5 years experience as database administrator (DBA) for large enterprise level clusters
Minimum 3 years experience as DBA supporting Big Data technologies (e.g., Hadoop, Spark, HBase, HDFS, Kafka, Zookeeper, MirrorMaker, Impala, Yarn), different data file formats, and NoSQL engines
Experience in DBA production support on at least one of the following DBMS platforms: MongoDB, ArangoDB, or MarkLogic
Expert communication, facilitation, and collaboration skills
Ability to present, explain, and provide advice to partners, as a subject matter expert within the Hadoop and NoSQL space
Experience in security configuration for Hadoop clusters using Kerberos or Sophia
Competency in conceptualization, foresight, enterprise perspective, consensus building, technical problem-solving skills
The ability to understand and adhere to firm incident, change, and problem management processes
Strong skills in project management methodologies like Agile, Kanban, and DevOps
Experience with ETL processes
Experience in infrastructure architecture and engineering experience, including functional and technical requirements gathering, and solution development
Bachelor's degree in computer science, computer engineering, or a related field, or the equivalent combination of education and related experience
Advantage to those who also have:
Scripting skills in Python, Perl, Java, KornShell, and AWK

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.

עדכון קורות החיים לפני שליחה

7700757

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נאספה מאתר אינטרנט

10/04/2024

Data Engineer

חברה חסויה

Location: Airport City

Job Type: Full Time

We are looking for an experienced data engineer with a passion for engineering practices to join our team and help to redefine software excellence in the industry.
You will have an opportunity to own the whole data flow, from fetching the data and until visualizing it for users.
Your Responsibilities:
Be responsible for designing the full data flow, from extraction to visualizing in external tools, implementing, and maintaining it
You will translate User and Product manager requirements into a technical design and implement it to be part of large data engineering solutions
Support robust, scalable solutions to enhance business analysis capabilities, identify gaps and design processes, and fill them
Work with cutting-edge big-data tools and techniques
Collaborate with R&D, architects, data scientists, analysts, Projects Managers and DevOps in order to deliver the right solution

Requirements:
At least 3 years of experience in Big-Data technologies as a data engineer, including ETL/ELT processes and data exploration
At least 3 years of experience with Spark, Spark Streaming, Databricks, Airflow and other components required in building end-to-end data pipelines.
At least 3 years of experience in Python programming and SQL queries
At least 1 year of experience in data visualization tools, such as PowerBI, Tableau
At least 1 year of experience in cloud big data solutions and architectures (Azure)
Deep knowledge of Big Data design principles and guidelines
Strong experience in Javascript/Java programming languages
Excellent interpersonal and communicational skills, a team player
Excellent self-management skills, ownership skills, and understanding of the business
Bachelor in Mathematics/Statistics/Computer Science

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

7688523

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