Senior Data Engineer I
India-Bengaluru (Helios Business Park)
INR 2520K-3500K (estimate) Senior-level Full Time
Tasks
- Build batch and real-time processing systems
- Design data pipelines
- Develop data platforms
- Implement CI CD for data platforms
- Implement ETL processes
- Improve data quality and governance
- Maintain scalable data solutions
- Mentor junior engineers
- Monitor data pipeline performance
- Optimize machine learning data pipelines
- Secure enterprise data platforms
- Troubleshoot data pipeline issues
Perks/Benefits
- Casual leave
- Compassionate leave
- Family leave
- Flexible work hours
- Free transport to office
- Health insurance
- Life insurance
- Long service awards
- Maternity leave
- New baby gift
- Paternity leave
- Privilege leave
- Sick leave
- Subsidised food
- Tuition reimbursement
- Wellbeing initiatives
Skills/Tech-stack
AWS | Apache Airflow | Apache Kafka | Apache Spark | Batch Processing | CI/CD | Container Orchestration | Data Architecture | Data Governance | Data Modeling | Data Quality | Data Warehousing | Databricks | DevOps | Distributed Computing | Docker | ETL | Feature Engineering | Hadoop | Infrastructure as Code | Java | Kubernetes | Machine Learning | Metadata Management | NoSQL | Python | Real Time | Real-time Processing | SQL | Scala | Schema Design | Snowflake | Time processing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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