GCP Data Engineer

1 week ago

pushkar, India People Prime Worldwide Full time

Important Note (Please Read Before Applying) Do NOT apply if:You have less than 7 years of relevant experienceYou do not have hands-on experience with Python and GCP servicesYou cannot join immediately or within 15 days noticeYou are looking for remote only (this role requires hybrid working)You lack experience in data engineering. Apply ONLY if you meet ALL criteria above. Irrelevant or random applications will not be considered.Job Title: Lead Data EngineerLocation: HyderabadExperience: 10+ YearsEmployment Type: PermanentNotice Period: Immediate Joiners OnlyAbout 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 DescriptionDesign, develop, test, and maintain robust ETL/ELT data pipelines using PythonArchitect enterprise-grade data solutions utilizing GCP services such as Dataflow, BigQuery, Cloud Functions, Cloud Composer, Cloud Run, and IAMImplement scalable data ingestion, transformation, redaction, and data quality enforcement using technologies like Kafka, GKE, APIGEE, DBT, LLMs, and DLPCollaborate closely with customers for requirements gathering, solution design, and post-delivery supportIntegrate and manage data workflows and orchestration with Apache Airflow (GCP Composer)Use API frameworks like Python FastAPI and process data streams with Apache Spark, Kafka, and various storage technologies (MongoDB, Redis, Bigtable)Write complex SQL queries for data validation and extraction on enterprise databases (SQL Server, Oracle, PostgreSQL)Manage code versioning with GitHub and participate in CI/CD pipeline deploymentsDocument pipeline architecture, data flows, and operational proceduresMandatory Skills 10+ years of hands-on Python programming experience in backend or data engineering Strong expertise in Google Cloud Platform services (Dataflow, BigQuery, Cloud Functions, Cloud Composer, Cloud Run, IAM) Solid experience with Apache Spark, Kafka, Airflow, Redis, MongoDB, and FastAPI Strong SQL skills with enterprise databases (SQL Server, Oracle, PostgreSQL) Experience with data pipeline architecture, data integration, transformation, and quality enforcement Familiarity with GitHub and CI/CD practices for data projects Experience in cloud-native deployment on GKE and Cloud Run

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