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Tier-1 brand, metro location, mid-level generalist data role, and broad tech stack raise competition.
Core data engineering skills are transferable but finance general ledger and DataBridge requirements increase domain specificity.
Explicit 5+ years requirement plus many mandatory data engineering technologies and finance domain knowledge.
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Own end-to-end data engineering development life cycle including analysis, design, programming, testing, documentation, and implementation using tools like Oracle SQL, Snowflake, Python, ETL (Ab-Initio).
Contribute to Agile projects involving DataBridge subscriptions migration, modifying map hub setups, and supporting financial accounting/general ledger data processes.
Research and evaluate emerging AI and cloud-based data engineering technologies to drive innovation and improve project delivery.
5+ years relevant experience in application development with strong execution capabilities.
Proficient in Oracle SQL, Snowflake, Python (certified), ETL tools (Ab-Initio), Unix Shell scripting, and cloud data solutions including AWS S3.
Experience with financial accounting/general ledger concepts and DataBridge (UAL) subscription development.
Familiarity with version control (Git/Jenkins), scheduling platforms (Autosys/AWP), and Agile development practices.
Experienced in financial data engineering supporting subscription and general ledger data workflows using Oracle SQL and Snowflake.
Comfortable working in Agile teams with solid understanding of deployment pipelines, CI/CD tools (ServiceNow, Lightspeed, Jenkins).
Capable of applying technical expertise to address small to medium scale project features and adapt quickly to new data engineering and AI tools.