Senior Data Integration Engineer
1 month ago
Senior Data Integration Engineer
Role Overview:
This role will be responsible for conducting ingestion and systems integration activities on the Databricks platform. This role requires a deep understanding of:
- Data Lake ingestion and integration processes and best practices
- Databricks platform
- Python/PySpark
- ETL/ELT design, Apache Airflow
- CI/CD
- System integration tools
- Data pipeline management
About the role:
- Integrate data from a variety of source systems and knowledge to tailor integration approaches on a per-system basis
- Liaise with Technical Data Steward and understanding business requirements for ingestion and integration
- Document ingestion and integration flows and pipelines
- Use Airflow to schedule and automate ingestion jobs
- Manage metadata and master data in technical data catalog
- Manage, maintain, and oversee ETL/ELT pipelines on the Databricks platform
- Ensure ELT/ETL design meets required security and compliance guidelines, and ensure PII management, flagging, and risk assessment during ingestion and integration
- Conduct pipeline monitoring
- Ensure adherence to SDLC best practices
About you:
- Bring 5+ years of experience in data engineering, ingestion pipelining, and ETL/ELT
- Hold a bachelor’s degree in computer science, engineering, statistics, or related field
- Have hands-on experience with and understanding of the following:
- Spark/Scala
- SQL
- Python/PySpark or similar programming language
- Databricks
- ETL/ELT development, monitoring and pipelining using tools such as Apache Airflow
- omibo
- Data quality guidelines
- CI/CD pipelines
- Agile
- Git and version control
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