TCS Hiring : 3rd September 10-12:30, 2-4:30pm.
EXPERIENCE 7+ YEARS
HYDERABAD

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Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)
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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 Qualified Data Engineer / Cloud Architect.

📌 PostgreSQL (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad