Job Description
Information Details 1 Role GCP Data Engineer Postgres Python Pyspark Developer (Big Query, Cloud Storage, Dataproc, Airflow) 2 Required Technical Skill Set GCP Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions using Big Query, Cloud Storage, Dataproc, and Airflow. 3 No of Requirements 5 4 Desired Experience Range 7+ Years 5 Location of Requirement HYDERABAD 6 Immediate Joiners Needed YES Desired Competencies (Technical/Behavioral Competency) Must-Have (Ideally should not be more than 3-5) · GCP Services: Big Query, Cloud Storage, Dataproc, Cloud Composer (managed Airflow) or self-managed Airflow. · Airflow: Strong experience in DAG creation, operators/hooks, scheduling, backfilling, retry strategies, and CI/CD for DAG deployments. · Programming: Proficiency in Postgres Programming including Tables, Triggers, Views, Stored procedures, Python and Pyspark (PySpark, Airflow DAGs), SQL (advanced BigQuery SQL). · Data Modeling : Dimensional modeling (Star/Snowflake), data vault basics, and schema design for analytics.



· Performance Tuning: BigQuery partitioning/clustering, predicate pushdown, job stats review, Dataproc executor tuning. · Version Control & CI/CD: Git, branching strategies, pipelines for deploying Airflow DAGs and config. · Operational Excellence: Monitoring with Stackdriver/Cloud Logging, debugging pipeline failures, and root-cause analysis. · involves end-to-end ownership of data ingestion, transformation, orchestration, and performance tuning for batch and near real-time workflows. Good-to-Have · Streaming: Pub/Sub, Dataflow (Apache Beam) for near real-time pipelines. · Orchestration Patterns: Event-driven pipelines, dependency management, and cross-workplace promotion. · Data Governance: Catalog/lineage tools (e.g., Data Catalog), PII handling, row-level security, column-level encryption. · Containers & Infra: Docker, Terraform for IaC on GCP; Kubernetes concepts. · BI Integration: Experience

📌 GCP Data Engineer Postgres Python Pyspark Developer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad