- Proficiency in Google Cloud Platform services, including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Dataplex, and Airflow Composer.
- Solid SQL and Python programming skills.
- Experience with Apache Beam for batch and streaming pipelines.
- Experience with CI/CD and Infrastructure as Code using GitHub Actions.
Good-to-Have Capabilities
- Familiarity with data governance, security, and observability tools.
- Understanding of AI/ML integration with Vertex AI.
- Expertise in performance tuning and cost optimization.
- Experience developing ETL/ELT workflows for structured and unstructured data
Key Responsibilities
- Design and implement scalable data pipelines using Google Cloud Platform services.
- Develop ETL/ELT workflows for structured and unstructured data.
- Ensure data quality, security, and compliance with governance standards.
- Collaborate with data scientists and analysts to enable advanced analytics.
- Optimize data workflows for cost efficiency and performance.
- Implement monitoring and alerting for data pipelines.
- Support AI/ML readiness and integration with Vertex AI.
- Demonstrate strong communication and stakeholder management skills.
- Required Technical Skills Agile delivery methodologies
📌 Google Cloud Data Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad
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