Description
The Data Engineering Manager will design, build, and maintain automated data pipelines across multi-platform and cloud environments, manage data integration, storage, cleansing, governance, and platform optimization, and lead L3 support and incident resolution. The role requires 3–7 years of progressive data engineering experience, hands-on expertise with tools such as Airflow, dbt, Kafka, Spark, Snowflake, and cloud platforms, along with strong SQL, PL/SQL, DevSecOps, and stakeholder collaboration skills.
