Overall Exp-5+ Location-Pan India Job Requirements* - Proficiency in programming languages: Python, Java - Expertise in data processing frameworks: Apache Beam (Data Flow) - Active experience on GCP tools and technologies like Big Query, Dataflow, Cloud Composer, Cloud Spanner, GCS, DBT etc., - Data Engineering skillset using Python, SQL - Experience in ETL (Extract, Transform, Load) processes - Knowledge of DevOps tools like Jenkins, GitHub, Terraform is desirable. Should have good knowledge on Kafka (Batch/ streaming) - Understanding of Data models and experience in performing ETL design and build, database replication using Message based CDC - Familiarity with cloud storage solutions - Solid problem-solving abilities in data engineering challenges - Understanding of data security and scalability - Proficiency in relevant tools like Apache Airflow Core Skills: GCP Services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Data Catalog, Data Fusion, AI Platform. Programming: SQL, Python, Java/Scala (for Dataflow/Spark). Data Concepts: Data Warehousing, ETL,



Data Modeling, Streaming. Tools: Apache Beam, Docker, Kubernetes, Git, Terraform. Key Responsibilities* Design & Build Data Pipelines: Develop scalable data ingestion, transformation (ETL/ELT), and orchestration workflows using GCP services. GCP Service Utilization: Implement solutions with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Cloud Composer. Data Integration: Connect and manage data from diverse sources (APIs, databases, files). Optimization: Improve performance, cost-efficiency, and reliability of data processes. Collaboration: Work with data scientists, analysts, and architects to meet data needs. Quality & Security: Ensure data integrity, security, and compliance. Automation: Implement CI/CD and Infrastructure as Code (IaC) using tools like Terraform. Monitoring & Support: Maintain, monitor, and troubleshoot data workloads and systems.

📌 Gcp Data Engineer (New Delhi)
🏢 Tata Consultancy Services
📍 New Delhi