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Tier-1 brand plus mid-level data role and metro hiring pool increase applicant competition.
Role demands data engineering plus settlements/regulatory domain knowledge, limiting cross-industry transferability.
Explicit 6+ years, required data engineering skills and financial-regulatory experience create stringent screening.
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Own end-to-end delivery of business functionality for Settlements data reporting and provisioning within an Agile team.
Develop reports and data solutions based on business requirements from Settlement users and collaboration with regulators.
Engage closely with users and technology teams across multiple global locations to ensure effective data engineering solutions.
6+ years of relevant experience in data engineering or related field.
Strong programming skills in Python with experience in data manipulation libraries (Pandas, NumPy, Dask).
Proficiency in SQL and experience with relational databases like Snowflake, Sybase, DB2, PostgreSQL, or SQL Server.
Experience with data warehousing concepts, ETL/ELT frameworks (e.g., Apache Spark, Airflow), cloud platforms (preferably Azure), and message streaming technologies (e.g., Kafka).
Experienced practitioner comfortable leading data engineering deliverables in a large-scale, regulated financial services environment.
Skilled at working directly with business users and regulators to translate requirements into data solutions, indicating strong domain understanding in settlements or post-trade operations.
Capable of operating effectively within geographically distributed Agile teams and collaborating across multiple global offices.