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Lead GCP Data Engineer

4 weeks ago

Varanasi, India People Prime Worldwide Full time

Important Note (Please Read Before Applying)🚫 Do NOT apply if: • You have less than 10 years of relevant IT experience • You lack hands-on Python + GCP project experience • You have no real-time experience with Dataflow, BigQuery, Airflow, or Spark • You are not experienced in architecting or designing data pipelines • You cannot work in the specified work mode/location • You cannot join within a reasonable timeframe✅ Apply ONLY if you meet ALL mandatory criteria above. Random or irrelevant applications will not be processed. Job Title: Lead Data Engineer – Python & GCP Location: Hyderabad Experience: 10+ Years (STRICTLY) Employment Type: Permanent Notice Period: ImmediateAbout the Company:Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.Job Description:• Design, build, and maintain scalable ETL/ELT data pipelines using Python • Architect enterprise-grade solutions leveraging modern data technologies • Work directly with customers for requirement gathering, discovery, and design • Implement data ingestion, transformation, validation, and quality checks • Develop solutions using key GCP services (Dataflow, BigQuery, Cloud Functions, Cloud Composer, GCS, IAM, Cloud Run) • Build and manage pipelines using Airflow and write advanced SQL queries • Work with Kafka, Spark, FastAPI, Redis/MongoDB/Bigtable • Participate in CI/CD deployments using GitHub • Ensure performance optimization, monitoring, logging, and data consistency • Create architecture diagrams, design documents, and support post-delivery activitiesMandatory Skills: ✔ 10+ years of hands-on experience in Python (backend or data engineering) ✔ Strong experience with Google Cloud Platform (Dataflow, BigQuery, Cloud Composer, Cloud Functions, GCS, IAM, Cloud Run) ✔ Experience designing scalable ETL/ELT pipelines ✔ Strong SQL skills (SQL Server / Oracle / PostgreSQL) ✔ Hands-on experience with Apache Spark & Kafka ✔ Experience with Airflow / GCP Composer DAGs ✔ Experience with FastAPI ✔ Proficiency in GitHub & CI/CD workflows ✔ Experience with NoSQL technologies (MongoDB / Redis / Bigtable) ✔ Experience deploying solutions on GKE & Cloud RunGood to Have (Optional): • Snowflake experience • Databricks (PySpark) • Azure Data Factory or Azure data engineering tools