GCP Platform Engineer

4 days ago

Pune, Maharashtra, India Cling Multi Solutions Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Key Responsibilities

  • Design, build, and maintain scalable data pipelines and platform solutions on Google Cloud Platform.
  • Develop and manage workflows using Cloud Composer (Apache Airflow).
  • Manage and optimize datasets in BigQuery using complex SQL and PL/SQL logic.
  • Work with Cloud Storage for data ingestion, staging, and archival processes.
  • Create and maintain tables, views, materialized views, and other database objects.
  • Develop and optimize stored procedures and functions for application support.
  • Ensure data quality, integrity, and consistency across systems.
  • Perform query performance tuning using execution plans and best practices.
  • Troubleshoot and resolve database performance issues.
  • Write clean, maintainable, and well-documented Python scripts for automation and orchestration.
  • Collaborate with developers, analysts, and stakeholders to define and deliver robust platform solutions.
  • Document build processes and support materials for deployment and maintenance.
  • Create test/sample data and perform bug fixes as needed.
  • Follow and implement best practices for platform development, data design, and Skills :
  • 5+ years of hands-on experience with GCP (BigQuery, Cloud Composer, Cloud Storage)
  • Strong SQL/PLSQL skills including :
  • Advanced joins, inline views, correlated queries
  • Use of analytical and arithmetic functions
  • Solid understanding of data warehousing concepts and ETL fundamentals
  • Proficiency in Python programming
  • Ability to read and optimize query execution plans
  • Experience with database performance tuning
  • Good documentation practices for build and deployment processes
  • Strong problem-solving, analytical thinking, and debugging skills

Good To Have

  • Experience with Google Dataflow
  • Exposure to CI/CD pipelines
  • Familiarity with data modeling and data governance
  • Prior work in agile environments or DevOps cultures

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