Design and implement conceptual, logical, and physical data models for enterprise data platforms. Develop and optimize data solutions using Google BigQuery. Write complex SQL queries for data extraction, transformation, and analytics. Build and automate data pipelines using Python. Partner with business and technical teams to translate requirements into scalable data solutions. Ensure data quality, governance, performance optimization, and best practices across the data ecosystem. Support data migration, integration, and reporting initiatives.
Additional Responsibilities:
Exposure to GCP services such as Cloud Storage, Dataflow, Composer, or Dataproc. Experience with data governance and performance tuning. Location: PAN India
Technical and Professional Requirements:
Strong experience in Data Modeling (Dimensional, Star Schema, Snowflake Schema). Hands-on expertise in GCP BigQuery. Advanced SQL programming and query optimization skills. Proficiency in Python for data engineering and automation. Experience with data warehouses, ETL/ELT processes, and large-scale datasets. Strong problem-solving and stakeholder management skills.
