Associate Director - Data Engineering
INR 875K-1300K (estimate) Mid-level Full Time
Tasks
- Architect data lake and lakehouse solutions
- Build ETL and ELT pipelines with data quality validation
- Collaborate with architecture governance and domain teams
- Contribute to pipeline development and code reviews
- Design, build, and optimize data pipelines
- Enforce data engineering best practices
- Ensure data platform reliability accuracy consistency and low latency
- Evaluate and adopt emerging big data and streaming technologies
- Implement data integration patterns including streaming batch and CDC
- Implement distributed processing with Spark or Flink
- Implement feature engineering pipelines for machine learning
- Improve platform observability and alerting
- Lead and manage data engineering teams
- Optimize performance and reduce cloud costs
- Orchestrate pipelines with workflow tools
Perks/Benefits
- Continuing education assistance
- Continuous learning
- Family-friendly perks
- Flexible time off
- Health and wellness
- Referral incentives
- Retail discounts
- Retirement planning
Skills/Tech-stack
AWS | AWS Lambda | AWS Step Functions | Access Control | Agile | Airflow | Amazon EC2 | Amazon EMR | Amazon Redshift | Amazon S3 | Amazon VPC | Apache Flink | Apache Spark | CI/CD | Canonical Data Model | Change Data Capture | CloudWatch | Containers | Data Capture | Data Governance | Data Lineage | Data Model | Data Modeling | Data Observability | Data Warehousing | Databricks | DevOps | Dimensional Modeling | ELT | ETL | Event Driven | Event-driven architecture | Hadoop | Infrastructure as Code | Java | Kafka | Load Balancing | Microservices | Normalized modeling | PII | Python | Route 53 | SQL | Scala | Step Functions | Terraform | VPC | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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