Role & responsibilities

Data Engineer
Design, build, and operate scalable data platforms, infrastructure, and self-service capabilities for analytics and operational workloads.
Develop and optimize ETL/ELT pipelines using batch, streaming, CDC, and micro-batch ingestion patterns.
Manage orchestration platforms (Composer/Airflow), DAG development, scheduling, monitoring, dependency management, and backfills.
Implement data security, access controls, monitoring, alerting, and CI/CD best practices.
Work with Python, SQL, Terraform, BigQuery, GCS, Pub/Sub, Cloud Run, Fivetran, and dbt.
Enable reliable, governed, and high-quality data delivery while collaborating closely with BI, DWH, and Data Science teams.
Solid problem-solving, communication, and engineering mindset.

what are the main 5 must have keywords for the above thing





Preferred candidate profile
Python
Core programming language for data engineering, ETL pipelines, automation, and data processing.
SQL
Essential for querying, transforming, and managing large-scale data systems.
ETL/ELT Pipelines
Covers data ingestion, transformation, CDC, batch, streaming, and micro-batch processing.
Airflow (Composer)
Key orchestration tool for DAG development, scheduling, monitoring, and workflow management.
Google Cloud Platform (GCP)
Specifically:
BigQuery
Cloud Storage (GCS)
Pub/Sub
Cloud Run
These are critical cloud technologies mentioned in the role.

📌 Gcp Data Engineer Kolkata
🏢 Tata Consultancy Services
📍 Kolkata