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Job summary
Goldman Sachs is seeking a Data Engineer for their Lakehouse and AI Data Platform in Poland. The role focuses on designing, building, and maintaining data pipelines while ensuring data quality and performance. Applicants should have a Bachelor's or Master's degree, strong programming skills in Python or Java, and a good grasp of SQL. Experience with distributed data processing frameworks like Apache Spark is a plus. The position promises opportunities to work with cutting-edge technologies in a dynamic environment.
Qualifications
Strong programming experience in Python or Java.
Good working knowledge of SQL, including troubleshooting and optimization.
Familiarity with software engineering fundamentals.
Responsibilities
Design, build, and support data pipelines and datasets.
Improve reliability and performance of data flows.
Implement controls for data completeness and accuracy.
Skills
Python programming
Java programming
SQL
Data modeling
Data quality
Distributed data processing
Attention to detail
Problem solving
Education
Bachelor’s or master’s degree in a relevant discipline
Tools
Apache Spark
Kafka
Snowflake
JSON
Data bricks
Job description
Goldman Sachs is seeking a Data Engineer for their Lakehouse and AI Data Platform in Poland. The role focuses on designing, building, and maintaining data pipelines while ensuring data quality and performance. Applicants should have a Bachelor's or Master's degree, strong programming skills in Python or Java, and a good grasp of SQL. Experience with distributed data processing frameworks like Apache Spark is a plus. The position promises opportunities to work with cutting-edge technologies in a dynamic environment.