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Lead Big Data Engineer
Skills
Azure Data FactoryData EngineeringJavaSQLApache SparkBig DataCode Review
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience with Apache Airflow
- Experience with Apache Spark
- Big Data processing proficiency
- Proficiency in Java or Python
- Experience with Kubernetes
- Knowledge of SQL
- Experience with ETL processes
- Use of Github and CICD tools
- 5+ years of development experience
- Experience with Spark Notebooks and Synapse
- Experience managing or leading a team of 10+
- High level architecture experience
Day to day
- This is a high-level technical/leadership role involving meetings with product partners and business stakeholders, tracking project timelines and scope.
- The job also requires reviewing and writing code with a roughly 50/50 split between leadership and technical responsibilities.
- The role manages all developer and QA workstreams, ensuring tasks are on track, managing blockers, and escalating delays if needed.
