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Data Engineer - Google Cloud Platform

Data Engineer - Google Cloud Platform

adeccMumbai
30+ days ago
Job description

Key Responsibilities :

  • Design, develop, and optimize scalable data pipelines and ETL / ELT workflows using GCP-native tools such as BigQuery, Dataflow, Cloud Composer, Pub / Sub, and Cloud Storage.
  • Build and maintain semantic data models in Looker (LookML), ensuring accuracy, usability, and performance for self-service analytics.
  • Collaborate with analysts, data scientists, and business stakeholders to translate business requirements into reusable data assets and Looker dashboards.
  • Lead the design of data lake / data warehouse architectures and enforce modelling best practices.
  • Follow and implement data quality frameworks, lineage tracking, and data governance policies across the platform based on the defined standard.
  • Optimize BigQuery performance and cost, including partitioning, clustering, and query tuning.
  • Develop and maintain CI / CD pipelines for data workflows and LookML repositories.
  • Ensure data security, privacy, and access control compliance on GCP and Looker.
  • Mentor junior engineers and contribute to the growth of engineering practices within the team.
  • Deliver code according to the specifications; follow code standards, versioning and branching
  • Interact with tech-leads, architects to ensure good design and code quality
  • Ensure documentations are up to date (technical design, deployment guide, release notes, etc.)

ROLE REQUIREMENTS :

  • 8+ years in data engineering, including 3+ years on GCP and 1+ year on Looker.
  • Experience and knowledge of SDLC or Agile development framework and methodologies
  • Strong experience on data warehousing design, data modelling and data lakes

    • KNOWLEDGE AND Required :

    Degree holder in Computer Science or related discipline / relevant experience with MSBI technology

    Experience Required :

  • A total of 8+ years in data engineering, including 3+ years on GCP and 1+ year on Looker.

    • Competencies Required :

  • Good communicator
  • Team player and result oriented
  • Collaborative learner
  • & Knowledge Requirements
  • Strong hands-on experience with GCP data services, especially : BigQuery, Dataflow, Cloud Composer (Airflow), Pub / Sub, Cloud Functions, Cloud Storage
  • Proficient in SQL and Python for data transformation and automation.
  • Solid understanding of data warehousing, dimensional modeling, data lakes, and modern data architecture.
  • Experience building streaming and batch pipelines at scale.
  • Strong command over LookML (semantic modeling)
  • Ability to design performant explores, dashboards, and governed self-service data layers
  • Experience with version control (e.g., Git) in Looker projects
  • Experience with Airflow DAGs, or other orchestration tools.

    • Nice to have (Optional) :

  • Experience on Kubernetes, PySpark, development
  • Understanding of RBAC, IAM, and data security on cloud platforms
  • GCP Professional Data Engineer or Looker Certification is highly desirable.
  • Knowledge of Apache Spark, Kafka, or other cloud-native processing tools is advantageous.

    • (ref : hirist.tech)

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    Data Engineer Google Cloud Platform • Mumbai