2 months ago
Detroit, MI, USA or Charlotte, NC, USAStaff+
Responsibilities
- Design, develop, optimize, and maintain scalable data pipelines and data integration solutions.
- Develop data architectures supporting enterprise data warehouses, data lakes, and analytics platforms.
- Build and manage ETL/ELT processes using modern data engineering tools.
- Develop AWS-based solutions using S3, Lambda, and DynamoDB.
- Design and implement data solutions in Snowflake and other cloud data environments.
- Develop data models, including Data Vault models.
- Write and optimize Python and SQL for data processing and integration.
- Use dbt to develop, transform, test, and manage data workflows.
- Support data replication and integration using Qlik Replicate and enterprise platforms such as IBM InfoSphere DataStage and CP4D.
- Develop and integrate APIs for enterprise data and application needs.
- Establish data quality, governance, metadata management, and data lineage processes.
- Troubleshoot performance, data quality, and integration issues.
- Provide technical leadership and guidance on data engineering architecture and best practices.
Requirements
- Strong experience in data engineering and enterprise data environments.
- Hands-on AWS experience, particularly with S3, Lambda, and/or DynamoDB.
- Strong Snowflake and cloud data warehousing experience.
- Advanced Python and SQL development skills.
- Experience developing ETL/ELT and data integration solutions.
- Experience with data warehousing and data modeling, including Data Vault.
- Experience with dbt or similar modern data transformation frameworks.
- Experience with data quality, governance, metadata management, and data lineage.
- Strong understanding of relational and non-relational databases.
- Experience with enterprise data integration platforms and tools.
- Ability to work independently while providing technical leadership to other engineers.
- Preferred experience with Qlik Replicate, IBM InfoSphere DataStage, IBM CP4D, API development and integration, NoSQL databases, Git, DevOps practices, and large-scale enterprise environments.
- Strong communication and cross-functional collaboration skills.
Benefits
- Full-time, onsite position located in Charlotte, NC or Detroit, MI.
- Requires regular work from the client site.
- Equal opportunity employer.
About Infosys
Infosys is a public IT services and consulting company that builds and runs software systems for large enterprises across industries. It provides consulting, systems integration, cloud and AI services, engineering, and business process outsourcing, and sells platforms such as EdgeVerve's Finacle core banking suite. Founded in 1981 and headquartered in Bangalore, it serves clients in 50+ countries and is listed on the NSE, BSE, and NYSE.