Python, Pyspark, GCP Data Engineer
Bangalore, Karnataka, India
INR 2800K-4000K (estimate) Senior-level Full Time
Tasks
- Architect data solutions on GCP
- Automate manual processes
- Build large scale data processing frameworks
- Design ETL pipelines
- Develop ETL/ELT pipelines
- Implement data lake architectures
- Implement data warehouse models
- Maintain data pipelines
- Optimize data delivery for scalability
- Orchestrate data workflows with Airflow
- Process structured and unstructured data
- Translate data requirements into technical specifications
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Spark | Apache Spark SQL | BigQuery | CCPA | CI/CD | Cloud Composer | Cloud Dataflow | Cloud Dataproc | Cloud Functions | Cloud Storage | Cloud platform | Data Governance | Data Security | Docker | GDPR | Git | Google Cloud | Google Cloud Platform | Google Cloud Storage | Infrastructure as Code | Kafka | MySQL | NoSQL | PostgreSQL | Pub/Sub | PySpark | Python | SQL | Snowflake Schema | Spark SQL | Star Schema | Terraform | “as-code”
Education
N/A
Roles
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