PostgreSQL

TCS Hiring : 3rd September 10-12:30, 2-4:30pm. EXPERIENCE 7 YEARS HYDERABAD PLEASE SHARE UPDATED RESUME WITH BELOW DETAILS Please share your details on Name: Contact Number: Email ID: Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.) Current Organization Name: Total IT Experience- LOCATION TCS - Current CTC Expected CTC Notice period: Whether worked with TCS - Y/N GCP Services: BigQuery, 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. Streaming: Pub/Sub, Dataflow (Apache Beam) for near real-time pipelines. Orchestration Patterns: Event-driven pipelines, dependency management, and cross-environment 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 integrating with Looker, Tableau, or Power BI. Certifications: Google Professional Data Engineer / Cloud Architect.