דרושים » דאטה » data Engineer (Talend)

Were looking for an experienced Data Engineer to join our DataWarehouse team in TLV.

In this role, you will play a pivotal role in the Data Platform organization, leading the design, development, and maintenance of our data warehouse. In your day-to-day, youll work on data models and Backend BI solutions that empower stakeholders across the company and contribute to informed decision-making processes all while leveraging your extensive experience in business intelligence.

This is an excellent opportunity to be part of establishing state-of-the-art data stack, implementing cutting-edge technologies in a cloud environment.

In this role youll
Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements

Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs

Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the semantic layer

Develop processes to enforce schema evaluation, cover anomaly detection, and monitor data completeness and freshness

Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency

Implement best practices for data warehouse and database performance tuning

Conduct thorough testing of data applications and implement robust validation processes

Collaborate with Data Infra Engineers, Developers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers

We're looking for an experienced Data Engineer to work on our massive data processing pipeline and our new NextGen BI system to help us deliver more insights and scale from our current billion events a day to tens of billions of events.

Responsibilities:
Pull data from various data sources and integrate into the ETL process.
Integrate Machine Learning models in ETL to deliver insights to Marketing, Product and CRM departments.
Optimize workloads to reduce cost and improve performance.
Work closely with analysts from Product, Marketing and Data Scientists to deliver insights from over a Billion daily events and over 50 Marketing channels.