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Strong Tier-1 brand increases applicant interest but senior specialized leadership requirements limit the pool.
Core data engineering skills transfer across industries, though banking governance and platform scale increase specificity.
Multiple explicit seniority, leadership, and extensive mandatory technical stack requirements make filtering strict.
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Design and architect scalable, reliable data infrastructure including data lakes, warehouses, and real-time streaming on cloud platforms.
Act as a hands-on senior technical contributor writing code for data ingestion, transformation, and serving using Python, Scala, SQL, and Spark.
Lead and mentor a team of data engineers while championing data engineering best practices and developing long-term data strategy.
10+ years professional experience in data engineering with large-scale data systems design and build.
3+ years in technical leadership or architect role with mentoring experience.
Deep hands-on expertise in Python or Scala, SQL, major cloud platforms (AWS, GCP, or Azure), and big data technologies such as Spark, Kafka, Hadoop.
Bachelor’s degree or equivalent experience; Master’s degree preferred.
Experienced player-coach who can both architect and actively build data solutions, balancing technical leadership with coding.
Strong background in designing data platforms with cloud-native and big data streaming technologies, advocating modern CI/CD and software engineering best practices.
Skilled at cross-functional collaboration across business, technology, and analytics teams in a global environment, with excellent communication to diverse audiences.