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Principal Data Engineer
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- DB2, Snowflake, Oracle, MongoDB, Redshift, and PostgreSQL. Architects, crafts, and develops highly scalable distributed data processing systems using Amazon Web Services (AWS), Python, Spark, and Kanban.
- Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) developing data applications to support legal, risk, and compliance analytical platforms.
- Or, alternatively, Master s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Data Engineer (or closely related occupation) developing data applications to support legal, risk, and compliance analytical platforms.
- DE creating auditing reports, implementing reporting solutions, performing data analysis, and establishing data access using Cassandra, Oracle, AWS EC2, Docker Kubernetes Cluster, or Microsoft Azure blob storage.
- DE implementing data components (databases, tables, views, types, stored procedures, functions, roles, and queries) for legal, compliance, risk, and security applications on relational databases (Postgres or Snowflake) using SQL and PL/SQL queries.
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