DE&A - Core - Big Data Engineering - ETL
Bangalore, Karnataka, India
INR 2040K-2400K (estimate) Senior-level Full Time
Tasks
- Architect and develop large scale PySpark applications
- Define migration strategies for rehost replatform and reengineer
- Design target state architectures using BigQuery Dataproc Dataflow and GCS
- Implement batch and streaming workloads on GCP
- Lead big data platform migrations to GCP
- Modernize ETL pipelines using cloud native or Spark based solutions
- Optimize data pipelines for performance, scalability, and cost
- Refactor Spark Hive and MapReduce jobs for GCP
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Hive | Apache Spark | Batch Processing | BigQuery | Cloud Architecture | Cloud Storage | Cloud platform | Data Migration | Dataflow | Dataproc | ETL | Google Cloud | Google Cloud Platform | Google Cloud Storage | MapReduce | PubSub | PySpark | Streaming processing
Education
N/A
Roles
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