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Senior Data Engineer

Confidential Careers·Israel·en

HybridFull-timeData Engineering

A technology team is seeking a Senior Data Engineer to develop scalable data solutions in an AWS environment. The full-time role is hybrid, with two remote days per week, in Central Israel.

Responsibilities

Develop and maintain complex ETL/ELT pipelines using AWS Glue, Python, PySpark, and Spark.
Process diverse data sources and structured or semi-structured formats, including CSV, JSON, and text.
Work with relational and non-relational databases and optimize complex SQL queries.
Design data solutions across data warehouse and data lake environments.
Integrate data from APIs and web sources.
Address performance and scalability challenges.
Collaborate with systems analysts, infrastructure teams, and BI developers.

Requirements

At least 4 years of data engineering experience.
Experience developing complex ETL/ELT processes.
Hands-on experience with AWS Glue, Python, PySpark, and Spark.
Strong SQL skills, including writing and optimizing complex queries.
Experience with relational and non-relational databases and structured and semi-structured data.
Experience integrating APIs and web sources.
Knowledge of data warehouses, data modeling, and data lake architecture.
Ability to address performance and scalability challenges.

Relevance

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