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 rupali.deole@

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: 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 (Py Spark, Airflow DAGs), SQL (advanced Big Query SQL). Data Modeling: Dimensional modeling (Star/Snowflake), data vault basics, and schema design for analytics. Performance Tuning: Big Query 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 Ia C on GCP; Kubernetes concepts. BI Integration: Experience integrating with Looker, Tableau, or Power BI. Certifications: Google Professional Data Engineer / Cloud Architect.