Senior ETL Engineer/Data Engineer

Accenture•Charlotte, NC

2d•Hybrid

About The Position

As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Job Description: 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.