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Tier-1 brand and metro locations increase competition; senior specialized role limits applicant density.
Core data engineering skills are transferable, though banking governance and Citi practices increase domain specificity.
Explicit 10+ years, leadership requirement and detailed tech stack make filters strict.
Design and oversee development of scalable, robust data infrastructure including data lakes, warehouses, and streaming platforms on cloud.
Act as senior technical leader who writes code for data ingestion, transformation, and serving layers using Python, Scala, SQL, Spark.
Lead and mentor data engineers, champion data engineering best practices and culture, and drive long-term data strategy in collaboration with leadership and stakeholders.
10+ years of professional experience in data engineering with proven design/build of large-scale data systems.
3+ years in technical leadership or architect role with experience mentoring engineers.
Expert-level proficiency in Python or Scala and advanced SQL skills.
Deep hands-on experience with major cloud platform data ecosystems (AWS, GCP, or Azure) and big data technologies (e.g., Spark, Kafka).
Proven ability to combine hands-on coding with senior architectural and leadership responsibilities as a player-coach.
Experienced in defining and driving engineering best practices including CI/CD, data quality and governance at scale.
Adept at bridging business, technology, and analytics teams to develop and execute long-term data strategies.