Data Modeler with Data Quality & Data Governance experience

Infosys•Charlotte, NC

13d•Onsite

About The Position

In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided. Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions. Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability. Conduct code reviews, do changes to the codebase and maintain code repositories. Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards. Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications. Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability. Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects. Your contribution to the team: A collaborative spirit and excellent communication skills. The ability to handle end to end SDLC phases from requirement gathering to implementation. A knack for translating complex requirements into actionable development tasks. A passion for design and hands-on coding experience. A proactive approach to testing, troubleshooting, and refining our applications. The ability to work with cross-functional teams and do software integration. Overview The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

Requirements

Strong experience in data engineering/architecture across cloud or hybrid environments, with measurable impact on modernization, scalability, and cost optimization
Knowledge of metadata, lineage, data quality, and governance tooling (Collibra DQ, SALT, Informatica EDC)
Hands on expertise with data lake or data warehouse or lake house platforms, streaming data, ETL/ELT
Strong hands on expertise with various relational DBs and NoSQL DBs
Proven ability to translate architecture principles into pragmatic delivery patterns; influence platform decisions and align solutions with business priorities
Excellent communication, stakeholder management, and facilitation skills across business, technology, and risk/compliance teams; able to articulate ROI and strategic impact to senior leadership
Experience operating within Agile/SAFe environments
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.

Nice To Haves

Experience in Big data, Cloudera Hadoop is preferred
Hands on expertise with cloud native Lakehouse platforms (Databricks, Snowflake), streaming (Kafka), ETL/ELT (Informatica), BI (MicroStrategy, Tableau, ThoughtSpot), and relational databases
Programming proficiency in Python and SQL for data engineering, automation, and AI/ML pipelines.
Strong understanding of AI/ML concepts, platform choices, model lifecycle/MLOps, and integration into enterprise data platforms.
Familiarity with distributed query engines (Starburst), graph databases (TigerGraph), NoSQL (e.g., MongoDB), open table formats (Iceberg, Delta Lake), and data mesh principles

Responsibilities

Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
Conduct code reviews, do changes to the codebase and maintain code repositories
Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects