Senior Data Engineer

About NAYA:

We are a leading global provider of data platforms and development professional services.

We are proud to be one of the fastest-growing data and development technology companies worldwide, based in Israel — and we're hiring.

To expand our Data Engineering team, we are looking for an experienced Data Engineer to join a team focused on the development, maintenance, and leadership of enterprise data solutions.

Job Description

We are looking for an experienced Data Engineer with a strong background in developing ETL/ELT processes, data integration, and working with enterprise information systems.

The role involves developing and maintaining complex data processes, integration between diverse systems, data modeling, building data pipelines, and working in advanced enterprise environments.

We are looking for a candidate with high learning ability, systemic thinking, professional independence, and the ability to lead solutions end-to-end.

Key Requirements

• At least 5 years of experience as a Data Engineer.
• Significant experience in developing ETL/ELT processes and data integration.
• 1+ years of experience with Databricks (significant advantage).
• Solid development experience in Python.
• High-level SQL.
• Experience working with Data Warehouses / Data Lakes.
• Experience with traditional ETL tools such as Talend, Informatica, DataStage, or SSIS.
• Experience with Apache Spark (PySpark / Spark SQL) is a significant advantage.

Responsibilities

• Developing and maintaining ETL/ELT processes.
• Developing data pipelines and integration between systems.
• Working with databases, DWH, and Big Data solutions.
• Developing batch and streaming processes.
• Tuning performance and optimizing data processes.