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Senior Data Engineer - Databricks
Skills
Azure DatabricksPythonSQLPySparkAzure CloudAzure Data FactoryAzure Data Lake
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 6-10 years of data engineering experience with Databricks and Azure Cloud technologies
- Bachelor's degree in Computer Science Information Technology or related field
- Strong proficiency in PySpark Python and SQL
- Strong experience in data modeling ETL and ELT pipeline development and automation
- Hands-on experience with performance tuning of data pipelines and workflows
- Proficient with Azure Data Factory Azure Databricks and Azure Data Lake
- Experience with Delta Lake and data warehousing
- Experience with Delta Live Tables Autoloader and Unity Catalog
- Preferred knowledge of the insurance industry and its data requirements
- Strong analytical problem-solving and communication skills
Nice to have
- detail-oriented
- collaborative
- analytical
- proactive
- adaptable
Day to day
- Lead the design, development, and optimization of scalable data pipelines across distributed systems.
- Implement robust data quality checks, validation rules, anomaly detection, and reconciliation to protect data accuracy and integrity.
- Monitor data platforms, investigate issues, and drive root-cause analysis to improve reliability and support critical business workflows.
- Collaborate with architects, analysts, product owners, and engineering teams to align solutions with business goals and agile delivery.
