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Job Title:

GCP with specialization in Dataproc

Company: Tata Consultancy Services

Location: Hyderabad, Telangana

Created: 2026-04-21

Job Type: Full Time

Job Description:

TCS Hiring !! GCP with specialization in Dataflow/ DataprocCandidates with less experience and 6 years of experience need not applyMust have :GCP with specialization in Dataflow/ DataprocExperience only 6-8 YrsPlease read Job description before ApplyingNOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:Name:Contact Number:Email ID:Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)Current Organization Name:Total IT Experience- 6-8Location: TCS -Chennai/Kolkata/Hyderabad/Pune/Bangalore/NagpurCurrent CTCExpected CTCNotice period:Whether worked with TCS - Y/NJob Title: GCP with specialization in Dataproc3–8 years of experience in GCP data development. Hands-on experience with Data-proc, Spark, Hadoop, and Big-Query. Strong knowledge of SQL and Python; familiarity with Java/Scala is a plus. Experience with GCP services: Cloud Storage, IAM, Cloud Functions, VPC, Cloud SQL, and Composer. Knowledge of Terraform for Infrastructure as Code (IAC)Excellent communication and analytical skills. Ability to work under pressure and manage deadlines.Data Pipeline DevelopmentBuild and maintain ETL/ELT pipelines using Data-proc, Data-flow, Pub/Sub, Data Fusion, and related GCP services.Implement data ingestion, transformation, and cleansing logic for large-scale datasets. [JD_Developer_GCP (1) | Word], []Integration & AutomationIntegrate with RESTful APIs for data persistence and downstream systems.Automate orchestration using Cloud Composer (Airflow) or custom scripts. [], []Performance OptimizationTune Dataproc clusters and Spark jobs for cost and performance efficiency.Implement robust error handling, logging, and monitoring. []Collaboration & DocumentationWork with data architects and analysts to align on requirements.Maintain documentation for data flows, API contracts, and operational procedures

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