Senior Data Engineer
Tasks
- Build and maintain data models and ETL ELT processes
- Develop and deploy end to end data pipelines on Databricks
- Develop and maintain APIs and data services for analytics and reporting
- Ensure data governance and compliance adherence
- Ensure data quality integrity and security across data lifecycle
- Implement data ingestion, transformation, and processing workflows
- Integrate data from multiple data sources and systems
- Integrate data including APIs relational and non relational databases and IoT data
- Monitor troubleshoot and optimize pipeline performance in cloud
- Write clean modular well documented data engineering code
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Avro | Azure DevOps | CI/CD | Data Modeling | Data Warehousing | Databricks | Delta Lake | ELT | ETL | Git | JSON | Kafka | Parquet | PySpark | Python | SQL | Scala | Spark Streaming | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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