. 8+ years of data engineering experience, preferably in financial services or high-volume data environments
. Advanced SQL Server expertise, including:
o Query optimization, execution plan analysis, and performance tuning
o Index design, maintenance, and partitioning strategies for large tables
o Deadlock analysis, resolution, and troubleshooting
o Database design, normalization, and experience managing large-scale databases (multi-TB environments)
. Solid understanding of data engineering principles: data modeling, ETL best practices, and data quality frameworks
. Java/J2EE development skills for building scalable data applications
. Good to have the proficiency with Apache Spark (DataFrames, RDDs, Spark SQL) forbuilding and optimizing production-grade ETL pipelines that handle large-scale distributed data processing