Overall Exp-5+Location-Pan IndiaJob 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 positive 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- Strong problem-solving abilities in data engineering challenges- Understanding of data security and scalability- Proficiency in relevant tools like Apache AirflowCore 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 (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad