Develop, deploy, and support scalable real-time and batch data streams into the lakehouse.
Build data auditing strategies to ensure data quality and troubleshoot pipelines.
Collaborate with tech teams to specify data requirements and grant access.
Tune performance with profiling tools and SQL or other query languages.
Translate business needs into data models and pipelines.
Own data quality and foster data expertise in assigned areas.

🎯 Requirements

Bachelor’s degree in a related field or equivalent experience.
7+ years of overall data engineering experience.
3+ years SQL and Python experience.
3+ years building data pipelines with modern architectures.
2+ years with Redshift, BigQuery, Snowflake, or similar.
Experience with Spark, Hive, Trino/Presto, or similar.

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