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Tier-1 brand, popular data role, metro office and broad required skillset create high applicant competition.
Transferable data engineering skills, but GCP and LLM/toolkit requirements increase industry specificity.
Explicit 8+ years, managerial requirement, and mandatory modern data stack technologies drive high screening strictness.
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Lead and mentor a team of Data Engineers and BI Analysts, ensuring technical excellence and agile delivery with technologies like Python, SQL, BigQuery, and Java.
Design, develop, and optimize scalable data warehouses and ETL/ELT pipelines using tools such as Airflow, Spark, dbt, and Kafka within Google Cloud Platform.
Architect AI and data solutions aligned with business requirements, and collaborate with cross-functional teams to deliver impactful enterprise dashboards via Looker or Tableau.
8+ years of hands-on experience designing, testing, and optimizing enterprise-grade ETL/ELT solutions.
3+ years of experience with OLAP systems, advanced SQL, and data modeling.
Proven experience managing technical teams and agile project delivery in fast-paced environments.
Exceptional communication skills capable of explaining complex technical concepts to non-technical stakeholders.
Experienced leader comfortable owning both people management and hands-on technical duties in data engineering and analytics.
Strong background in large-scale distributed data infrastructure, preferably Google Cloud Platform (GCP).
Capable of translating high-level business needs into scalable AI-driven data solutions and prioritizing product initiatives across diverse stakeholders.