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GCP Data Engineer

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Job Description

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 skilled GCP Data Engineer 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 using Apache Beam, Dataflow, Spark, and Kaf
  • ka.Implement data models and data warehousing solutions using BigQue
  • 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 with Google Cloud Platform (GC
  • 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 (preferre
  • d).Experience building ETL/ELT pipelines and data integration framewor
  • ks.Good understanding of data warehousing concepts and dimensional modeli
  • ng.Hands-on experience with Apache Spark, Hadoop ecosystem, and distributed computing framewor
  • ks.Experience with real-time data streaming technologies such as Kafka and Pub/S
  • ub.Knowledge of containerization and orchestration tools such as Docker and Kubernet
  • es.Experience with version control systems like 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.

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About Company

Job ID: 151355003

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