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Tier-1 brand, metro location, and broad senior data engineering skillset.
Requires specialized data engineering, cloud, and banking experience, limiting cross-industry transferability.
Explicit 10+ years, 3+ years leadership, and extensive mandatory technical stack.
Design and architect scalable, reliable cloud-based data infrastructure (data lakes, warehouses, real-time streaming).
Lead and mentor a data engineering team while actively contributing hands-on code in Python/Scala, SQL, Spark.
Drive data engineering best practices, culture, and long-term data strategy in collaboration with cross-functional teams.
10+ years professional data engineering experience with large-scale data systems.
3+ years in technical leadership or architect role with team mentoring experience.
Expert proficiency in Python or Scala and advanced SQL skills.
Hands-on experience with major cloud data platforms (AWS, GCP, Azure) and big data technologies (Hadoop, Spark, Kafka).
Experienced leader comfortable both architecting systems and coding alongside engineers in a hands-on capacity.
Strong collaborator able to align business, technology, and analytics stakeholders in strategy and execution.
Advocate for software engineering best practices, data governance, and a strong engineering culture in a global, complex environment.