Data Engineer
Tasks
- Build and maintain scalable data pipelines using Databricks
- Create operational documentation runbooks and support procedures
- Design data replication and integration solutions using HVR
- Develop ETL and ELT processes for structured and unstructured data
- Ensure data quality, integrity, and performance
- Implement data governance, security, and access controls
- Implement data models and transformations for analytics and reporting
- Integrate data from databases APIs and streaming systems
- Monitor troubleshoot and resolve data pipeline issues
- Optimize Spark jobs for performance and cost
- Support CI CD pipelines for data engineering workflows
- Support data migration and modernization
Perks/Benefits
Skills/Tech-stack
ADLS | AWS Glue | AWS Redshift | Airflow | Amazon S3 | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Synapse | CI/CD | Cloud platform | Data Factory | Data Governance | Data Security | Data Warehousing | Data orchestration | Databricks | Delta Lake | Git | Google Cloud | Google Cloud Platform | HVR | Power BI | PySpark | Python | REST | SOAP | SQL | Scala | Snowflake Schema | Star Schema | Tableau
Education
Roles
Regions
Countries
States
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