Senior Data Engineer | Central Israel | Hybrid
A leading organization in Central Israel is looking for an experienced
Senior Data Engineer
to join a technology team responsible for developing complex and scalable data solutions in an AWS environment.
The role includes developing
ETL/ELT pipelines
, working with
AWS Glue, Python, PySpark, Spark, and SQL
, processing diverse data sources, and designing data solutions across DWH and Data Lake environments.
What You'll Do
Develop and maintain complex ETL/ELT pipelines
Build data pipelines using AWS Glue, Python, PySpark, and Spark
Work with relational and non-relational databases
Write and optimize complex SQL queries
Process structured and semi-structured data, including CSV, JSON, and text
Integrate data from APIs and Web-based sources
Work with DWH, Data Modeling, and Data Lake architectures
Address performance and scalability challenges
Collaborate with Systems Analysts, Infrastructure teams, and BI Developers
What We're Looking For
4+ years of experience as a Data Engineer – required
Experience developing complex ETL/ELT processes – required
Hands-on experience with AWS Glue – required
Experience with Python, PySpark, and Spark – required
Strong SQL skills, including writing and optimizing complex queries – required
Experience working with relational and non-relational databases – required
Experience processing structured and semi-structured data – required
Experience integrating data from APIs and Web sources – required
Strong knowledge of DWH, Data Modeling, and Data Lake architecture – required
Strong problem-solving skills with the ability to address performance and scalability challenges
Ability to work independently and collaborate effectively within multidisciplinary teams
📍
Central Israel | Full-time | Hybrid – 2 remote days per week