GCP Data Engineer

Job Description – GCP Data Engineer (4–9 Years Experience) Company: Impetus Technologies Position: GCP Data Engineer Experience: 4–9 Years Location: Bangalore / Chennai / Gurgaon Employment Type: Full-Time We are seeking a highly skille d GCP Data Engine er with 4–9 years of experience in building scalable data platforms and modern data pipelines on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience in designing, developing, and optimizing batch and real-time data processing solutions using GCP services and modern big data technologie s. Key Responsibilit iesDesign, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platfo rm.Build and optimize data ingestion, transformation, and processing frameworks for structured and unstructured da ta.Develop batch and streaming data pipelines usi ng Apache Beam, Dataflow, Spark, and Ka f ka.Implement data models and data warehousing solutions usi ng BigQu e ry.Work with large-scale datasets and ensure data quality, governance, and security best practic es.Integrate data from multiple sources including APIs, databases, cloud storage, and enterprise applicatio ns.Collaborate with architects, data scientists, analysts, and business stakeholders to deliver data-driven solutio ns.Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliabili ty.Implement CI/CD practices and automate deployment processes for data engineering solutio ns.Participate in architecture reviews and contribute to cloud modernization initiativ es.Required Skills & Qualificati onsTechnical Ski lls4–9 years of experience in Data Engineering and Big Data technologi es.Strong hands-on experience wi th Google Cloud Platform (G C P).Expertise in:BigQu eryCloud Storage (G CS)Dataf lowPub/ SubCloud Composer (Airfl ow)Datap rocCloud Functi onsStrong programming skills in Python, PySpark, SQL, and Java/Scala (preferr e d).Experience building ETL/ELT pipelines and data integration framewor ks.Good understanding of data warehousing concepts and dimensional modeli ng.Hands-on experience wi th Apache Sp ark, Hadoop ecosystem, and distributed computing framewor ks.Experience with real-time data streaming technologies such as Ka fka and Pub/S ub.Knowledge of containerization and orchestration tools such as Doc ker a nd Kuberne t es.Experience with version control systems li ke Git and CI/CD pipelin es.Database Ski llsStrong proficiency in S QL.Experience wi th:BigQu eryPostgre SQLMy SQLOra cleNoSQL databases (MongoDB/Cassandra) is an added advanta ge.Preferred Qualificati onsGCP Professional Data Engineer Certificati on.Experience working in Agile/Scrum environmen ts.Exposure to data lake and lakehouse architectur es.Knowledge of Delta Lake, Iceberg, or Hudi is a pl us.Experience with Infrastructure as Code (Terraform) is preferr ed.Familiarity with data governance and security framewor ks.Educat ionBachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related fie ld.Why Join Impet usOpportunity to work on large-scale cloud and data transformation projec ts.Exposure to cutting-edge GCP, AI, and analytics technologi es.Collaborative and innovation-driven cultu re.Continuous learning and certification suppo rt.Fast-track career growth opportuniti es.