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Job Title - GCP Data Engineer
Experience - 5+ Years
Location - Bangalore
Notice Period - Immediate to 30 Days
About the Role
You'll design and build scalable data pipelines on GCP, working on data migration, ingestion, and transformation across large-scale systems. You'll partner with data architects, analysts, and ML engineers to deliver reliable data infrastructure that powers business and AI workloads.
Key Responsibilities
- Build and maintain data pipelines using Airflow and Spark
- Design and optimize data models and queries in BigQuery
- Implement streaming pipelines using Kafka and Pub/Sub
- Lead data migration, ingestion, and transformation initiatives
- Ensure data quality, reliability, and performance at scale
Required Qualifications
- 5 years of hands-on data engineering experience
- Strong expertise in GCP (BigQuery, Pub/Sub, Cloud Storage, Dataflow)
- Production experience with Apache Airflow for workflow orchestration
- Solid Spark skills for batch and streaming data processing
- Experience with Kafka or Pub/Sub for real-time pipelines
- Proven track record with data migration and ETL/ELT projects
- Strong SQL and Python skills
Job ID: 150659921
Skills:
Pyspark, Ci, PostgreSQL, Sql, Nosql, Apache Airflow, Git, Gcp, Docker, MySQL, Python, Cloud Composer, Cloud Storage GCS
Skills:
composer , BigQuery, ELT, Git, Gcp, Terraform, Dataproc, DataFlow, Python, Etl, data fusion, GCS
Skills:
DataFlow, BigQuery, Pyspark, Relational Databases, Cloud Bigtable, Cloud SQL, Streaming Services, Cloud Spanner, Dataform, APIs integration
Skills:
DataFlow, BigQuery, Sql, Data Modeling, Java, Etl Tools, Python, Data Warehousing, Cloud Storage, Big data processing frameworks, Cloud Composer, Pub Sub
Skills:
Json, Sql, Data Warehousing, Cloud Storage, Github, DataFlow, Pyspark, BigQuery, Etl, Xml, Gcp, Jenkins, Cloud Run, Airflow, Parquet, Pub Sub, Cloud Functions, Teradata
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