This senior role leads the architecture and development of scalable, fault-tolerant Big Data platforms using Apache Spark, Hive, and Apache Iceberg
Job Summary
This senior role leads the architecture and development of scalable, fault-tolerant Big Data platforms using Apache Spark, Hive, and Apache Iceberg.
The position requires writing production-grade code in Python or Java and optimizing complex SQL queries for large-scale analytical workloads.
Citi offers competitive benefits including medical, dental, vision coverage, 401(k), and paid time off packages alongside a salary range of $142,320.00 to $213,480.00.
Matching Summary
This senior role leads the architecture and development of scalable, fault-tolerant Big Data platforms using Apache Spark, Hive, and Apache Iceberg.
Salary
Base: $142,320.00 - $213,480.00; Bonus/Equity: Discretionary and formulaic incentive and retention awards available; Benefits: Medical, dental, vision, 401(k), life insurance, wellness programs, and paid time off
Skills & Requirements
Must-have
Apache Spark and Hive expertise
Python or Java programming skills
Complex SQL query optimization
Apache Iceberg table format knowledge
AutoSys job scheduling experience
GitHub CI/CD pipeline implementation
Nice-to-have
Mentoring junior engineers
Cross-functional stakeholder communication
Technical roadmap definition
Performance bottleneck resolution
Key Requirements
10+ years designing large-scale data processing systems