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Global brand, popular Data Engineer title, metro hiring, and broad skillset requirements increase candidate competition.
Core data engineering skills are transferable, though Oracle/ODI and DB2 experience raise moderate domain specificity.
Multiple mandatory technical skills and domain expertise required (ODI, PL/SQL, data modeling, production support).
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Design, develop, and maintain ETL/ELT pipelines and enterprise data warehouse/data mart solutions using Oracle Data Integrator and Oracle PL/SQL.
Analyze and profile data from multiple enterprise sources, lead in translating business requirements into scalable data products, and oversee data quality, security, and compliance.
Support production issue resolution, cloud modernization, and data migration initiatives while collaborating with stakeholders and providing technical leadership on data architecture and integration.
Proficient in Oracle Data Integrator (ODI), Oracle PL/SQL, and advanced SQL query development with performance tuning.
Experience in production support including incident management and root cause analysis.
Familiarity with data modeling techniques such as dimensional (Kimball), Third Normal Form (TNF), Data Vault, and Medallion Architecture.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in enterprise data engineering within complex, multi-source data environments including DB2 and Oracle platforms.
Operationally skilled in technical documentation such as STTMs, data lineage, and technical design documents, with strong collaboration across business and technical teams.
Familiarity or hands-on experience with cloud platforms (AWS, Azure), Python for automation/analytics, and orchestration/version-control tools (Snowflake, DBT, Airflow, GitHub) is a plus.