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 (Karnataka)
🏢 Tata Consultancy Services
📍 Karnataka