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 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