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Tier-1 brand, hybrid work, and a common junior data-engineer title increase applicant density.
Core data engineering skills transfer across industries, but Oracle/ODI and DW specifics raise domain fit needs.
Mandatory ODI/Oracle/PL-SQL and data-warehouse skills imply moderate filtering despite no explicit years requirement.
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Support development and maintenance of ETL/ELT pipelines and data marts based on business requirements under senior guidance.
Assist in creating data models, technical documentation (STTMs, technical design), and data lineage for data warehouse solutions.
Collaborate with business partners and senior engineers to analyze data, troubleshoot production issues, and support data quality and compliance efforts.
Intermediate experience with Oracle Data Integrator (ODI) and Oracle PL/SQL including query writing and basic performance tuning.
Familiarity with data modeling concepts including Kimball methodologies, Third Normal Form, Data Vault, and Medallion Architecture.
Experience with data analysis/profiling from DB2, Oracle, and distributed data platforms.
Work Experience Required: Not explicitly mentioned in the JD.
Operates best in supportive roles working under senior mentorship, focusing on technical development and data engineering fundamentals.
Comfortable with intermediate SQL and PL/SQL development and basic Python scripting for data integration and automation.
Has exposure or willingness to learn cloud platforms (AWS, Azure), modern data tools (Snowflake, DBT), and orchestration/version-control systems (Fivetran, Airflow, GitHub).