Senior Data Engineer
3010 - Bangalore Office, India
INR 2800K-4000K (estimate) Senior-level Full Time
Tasks
- Architect and implement AWS data solutions
- Collaborate with analysts, data scientists, and stakeholders
- Design and develop ETL/ELT pipelines
- Develop and optimize Apache Spark data workflows
- Ensure data security and compliance best practices
- Implement data quality checks, logging, monitoring, and alerting
- Manage data governance and metadata
- Mentor junior engineers and evolve engineering practices
- Schedule and orchestrate workflows
Perks/Benefits
- Comprehensive health benefits
- Employee assistance program
- Employee resource groups
- Paid Holidays
- Paid time off
- Remote work stipend
- Tuition reimbursement
- Volunteer time off
- Wellness coaching
- Wellness program
Skills/Tech-stack
AWS Lambda | AWS S3 | Amazon EKS | Amazon EMR | Apache Airflow | Apache Iceberg | Apache Spark | CI/CD | Data Governance | Data Lineage | Data Monitoring | Data Quality | Data Warehousing | Databricks | Delta Lake | Dimensional Modeling | Documentation | Hive | Lakehouse | Normalized modeling | Power BI | Python | SQL | Tableau | Testing | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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