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Tier-1 brand plus broadly attractive BI/data skillset creates moderate applicant competition.
Core data engineering skills transfer across industries, but BI domain context slightly increases preference for relevant background.
Multiple mandatory technical skills (BigQuery, dbt, Terraform, GCP, Medallion architecture) make shortlisting stringent.
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Own and drive the growth of a cloud-based data platform, ensuring scalable, reliable, and actionable data solutions.
Lead design and implementation of data models, pipelines, and semantic layers to support self-service analytics and business decision-making.
Collaborate with senior stakeholders and business teams to align data solutions with organizational strategy and identify opportunities for advanced analytics and AI integration.
Strong experience in Data Engineering or Analytics Engineering with proven delivery of end-to-end automated data solutions.
Proficiency in designing scalable data models and production-grade data platforms using Medallion architecture (Bronze/Silver/Gold).
Hands-on experience with SQL, modern data warehouses (ideally BigQuery), ETL/ELT pipeline automation, data transformation tools (dbt or Dataform), and cloud environments (preferably Google Cloud Platform).
Degree in Mathematics, Computer Science, or related field. Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and evolving data platforms that support AI-ready data with high-quality metadata and robust data relationships.
Skilled in implementing best practices for data modeling, quality, and performance optimization across BI platforms.
Able to work cross-functionally with technical and business stakeholders in a global, fast-paced environment to drive strategic use of data.