Job Description
Job DescriptionDetails:
- Design and build enterprise data pipelines and ETL processes
- Develop and optimize complex SQL and PL/SQL
- Work with Oracle Database and cloud data platforms
- Build automated data-quality and validation processes
- Support data governance, metadata management, lineage, and access controls
- Monitor and improve data-pipeline performance and reliability
- Work with Analytics, BI, and business teams to translate requirements into technical solutions
- Support cloud modernization and new data technologies
- Provide technical guidance and mentoring to other team members
Requirements:
- 4+ years of Data Engineering, Data Architecture, or related experience
- Strong enterprise ETL / data-pipeline experience
- Advanced SQL and PL/SQL skills
- Advanced Oracle Database experience
- Experience with ETL tools such as Informatica, Talend, Fivetran, OCI Data Integration, or similar
- Cloud experience with Oracle Cloud, AWS, Azure, or Google Cloud
- Python and/or Shell scripting
- Airflow or similar orchestration/workflow experience
- Spark / Hadoop or other large-scale data-processing experience
- Data modeling and dimensional modeling experience
- Git and CI/CD experience
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field; equivalent experience may be considered
- Strong communication, problem-solving, and collaboration skills