Senior ETL Engineer/Data Engineer
About The Position
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing extract, transform and load (ETL) processes to migrate and deploy data across systems. You are expected to be a subject matter expert, collaborate and manage the team to perform effectively, take responsibility for team decisions, engage with multiple teams, contribute to key decisions, and provide solutions to problems within your immediate team and across multiple teams. Lead the design and optimization of scalable data pipelines to support complex data workflows. Provide technical guidance and support to team members to enhance overall project delivery. Collaborate with cross-functional teams to align data engineering solutions with business objectives. Analyze and troubleshoot data processing issues to ensure high data quality and system reliability. Contribute to the continuous improvement of data architecture and engineering best practices. Please note this is a hybrid role which requires being onsite 3 days per week with the client in Charlotte, NC.
Requirements
- Minimum 5 years of experience in ETL platforms like Informatica and Datastage
- Minimum 5 years of experience in Oracle, SQL and PL SQL
- Minimum 5 years of experience in Autosys, CI/CD Automation
- Minimum 3 years of experience in Unix/Linux Scripting
- High School Diploma/GED
Nice To Haves
- 7 years of experience in ETL platforms like Informatica and Datastage, Oracle, SQL and PL SQL, Autosys and CI/CD Automation
- Agile Development, Troubleshooting and Performance Tuning
- Bachelors Degree
Responsibilities
- Designing, developing, and maintaining data solutions that support data generation, collection, and processing
- Creating data pipelines
- Ensuring data quality
- Implementing extract, transform and load (ETL) processes to migrate and deploy data across systems
- Lead the design and optimization of scalable data pipelines to support complex data workflows
- Provide technical guidance and support to team members to enhance overall project delivery
- Collaborate with cross-functional teams to align data engineering solutions with business objectives
- Analyze and troubleshoot data processing issues to ensure high data quality and system reliability
- Contribute to the continuous improvement of data architecture and engineering best practices
Benefits
- Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
High school or GED
