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Must Haves:

5+ years of experience as a Data Engineer with a focus on cloud - based data engineering Strong expertise in AWS Cloud Platforms and related services like S3, EC2, Lambda, Glue, etc. Must come from a Java or Scala background Proficiency in Python scripting Expertise in data integration and ETL tools (Apache Spark, DBT or cloud-native solutions) Data warehousing concepts and technologies like RedShift, Snowflake or Synapse Analytics Solid understanding of data modeling, data governance and data quality principles Strong knowledge of SQL, database systems and data querying optimization techniques Financial industry experience required Fixed income/asset management preferred

Plusses:

Hadoop or other big data platforms Good exposure to containers (ECS or Docker) Jira, SAFe or Confluence Direct exposure to supporting multiple business units for foundational data work and sound understanding of capital markets within fixed income