Data Modeler Data Quality & Data Governance

Data Modeler with Data Quality & Data Governance experience

Technology|ETL & Data Quality|ETL & Data Quality - ALL

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, analyze 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

• 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

• 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 No
  
  SQL 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

• Experience in Big data, Cloudera Hadoop is preferred
• Hands‑on expertise with cloud native Lakehouse platforms (Databricks, Snowflake), streaming (Kafka), ETL/ELT (Informatica), BI (Micro Strategy, Tableau, Thought Spot), 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 (Tiger Graph), No
  
  SQL (e.g., Mongo
  
  DB), open table formats (Iceberg, Delta Lake), and data mesh principles

• 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
• This position may require relocation and/or travel to work/project location
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future

• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.