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Metro location, popular Data Engineer title, and moderate global brand create medium applicant competition.
Core data engineering and cloud skills are highly transferable across industries despite CPG context.
Explicit 7+ years, 4+ cloud years and required GCP/BigQuery skills make screening stringent.
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Design, develop, and maintain data pipelines and models primarily on cloud technologies, preferably Google Cloud Platform (GCP).
Lead and mentor teams on global projects while collaborating with business analysts and architects to deliver data solutions that integrate and transform enterprise data.
Support and improve existing data warehouses, evaluate and implement new big data tools, and manage multiple stakeholders in ambiguous and complex environments.
7+ years of total experience in ETL/Data domain with at least 4 years in cloud technologies (GCP preferred).
Expertise in GCP cloud components: Storage, BigQuery, Composer, Cloud Functions; knowledge of Python and real-time data streaming (Kafka, Pub/Sub).
Experience as a technical or project lead with mentoring responsibilities.
Location: Pune or Mumbai; Work Type: Hybrid; Travel: ~1%.
Experienced data engineer proficient in GCP cloud ecosystem with a strong focus on data warehousing and real-time data integration.
Comfortable leading global technical projects and collaborating with multiple stakeholders across business and technical teams.
Capable of working in ambiguous environments and proactively driving process automation and continuous improvement initiatives.