Data Engineer – AWS + Hadoop
Bengaluru - GTP, India
INR 1500K-2400K (estimate) Senior-level Full Time
Tasks
- Build ingestion frameworks for batch and streaming
- Collaborate with analytics ML and BI teams on curated datasets
- Design and implement ETL/ELT pipelines
- Develop and optimize AWS data lakes and warehouses
- Implement data quality governance and access controls
- Manage Hadoop ecosystem tools and orchestration
- Monitor pipelines and improve cost performance and reliability
- Perform code reviews and maintain documentation
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon CloudWatch | Amazon EMR | Amazon Kinesis | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Hive | Apache Kafka | Apache Spark | CI/CD | Data Modeling | Data Quality | Data Quality Checks | Docker | Encryption | Git | GitHub Actions | HDFS | Hadoop | IAM | Jenkins | Lake Formation | Metadata Management | Oozie | PII handling | Partitioning | PySpark | Python | Quality checks | RBAC | SQL | Scala | Schema Design | Shell Scripting | Step Functions
Education
Roles
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