לוח משרות דרושים איש ביג דאטה Big Data במרכז

We are looking for a curious, adaptable, experienced, and creative QA Engineer to join our successful and growing R&D team.
The project is the Data Platform, a leading big-data ETL system that processes transactions and matches identities while preserving privacy.
What Youll Do:
Write and maintain integration, sanity, and regression tests for our Production products and services
Create clear test plans that will be executed by them and team members
Create and maintain documented coverage of tests
Review and analyze test results
Work on CI/CD tools (Git, Jenkins, JIRA) daily
Take part in all scrum activities (estimation sessions, planning, reviews).

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

Were looking for a Data Project Manager to oversee the planning, execution, and delivery of data-related projects.
Youll manage projects that impact our company and customers, collaborate with stakeholders, and drive measurable business improvements.
If you're passionate about leveraging data for positive outcomes and thrive in a collaborative environment, we welcome you to apply!
Responsibilities:
Partner with members of our Product, Engineering, BI, Analysts, Product Marketing, Customer Experience, Finance, and Marketing teams to drive successful product results
Lead the data roadmap to support our products
Own the prioritization and execution of data deliverables
Lead cross-organizational data projects, setting milestones and tracking progress
Coordinate data engineering and business intelligence projects for timely delivery
Determine project needs for quarterly planning, and set priorities based on stakeholder input
Oversee sprints, manage tasks, and foster team communication
Troubleshoot data and product issues

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

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