Data Engineer
Tasks
- Automate tasks and build reusable frameworks
- Collaborate in Agile and SAFe delivery
- Design develop maintain ETL ELT data pipelines
- Enable unified data access governance and interoperability
- Implement data quality and validation frameworks
- Ingest and transform structured and unstructured data
- Manage sprints backlogs and user stories in Jira and Confluence
- Monitor data integrity accuracy and consistency
- Process large-scale datasets
- Support test automation and DevOps practices
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | CI/CD | Confluence | Data Governance | Data Modeling | Data Quality | Data Validation | Databricks | ELT | ETL | Git | Hybrid Cloud | Jenkins | Jira | Metadata Management | Performance Tuning | PySpark | Python | SQL | SparkSQL | Version control | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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