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Tier-1 brand, metro location, common Data Engineer title, and mid-level (5-6yr) experience increase applicant competition.
Core data engineering skills are transferable, though enterprise reporting and tool specifics require moderate domain familiarity.
Explicit 5-6 year requirement plus mandatory Power BI, Informatica, Oracle, and cloud/ETL skills enforce high strictness.
Own stability, resilience, and operational excellence of production reporting applications including Power BI, OAS/OBIEE, Informatica, Oracle Exadata; ensure high availability and performance.
Lead incident triage, root cause analysis, implement monitoring, alerting and observability frameworks to improve platform reliability and support cloud migration (AWS, Snowflake).
Drive automation, capacity planning, CI/CD improvement and participate in rotational on-call support for production systems.
Bachelor's degree in computer science or any discipline.
5-6 years of experience in DevOps, Data Engineering, or Production Support.
Hands-on administration experience with Power BI and OAS/OBIEE, strong Unix/Linux skills, Oracle/PL-SQL, Informatica ETL experience.
Experience with cloud technologies (AWS, Snowflake), programming in Python, Java or C, participation in production on-call rotations.
Experienced in managing enterprise reporting and data warehouse platforms with strong operational focus on system reliability and incident management.
Capable of collaborating with infrastructure and cloud teams for migration projects and implementing DevOps best practices for automation and observability.
Comfortable working in fast-paced production environments balancing priorities and driving continuous improvements in service reliability.