Infosys

Data Modeler with Data Quality & Data Governance experience

Infosys$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering or architecture in cloud/hybrid environments
  • Expertise in metadata, lineage, data quality, and governance tooling
  • Proficiency with data lake/warehouse/platforms such as Databricks and Snowflake
  • Hands-on experience with SQL and Python for automation and data engineering
  • Strong understanding of AI/ML concepts and their integration into enterprise data platforms
  • Excellent communication and stakeholder management skills across technical and business teams

Responsibilities

  • Document business requirements in collaboration with stakeholders
  • Facilitate design discussions and guide software application development
  • Participate in coding and integrate new features into existing applications
  • Conduct code reviews and maintain code repositories
  • Implement testing strategies and oversee bug fixes to maintain quality standards
  • Develop training documentation and support frameworks for new software applications
  • Assist in resolving production issues and suggest strategies for system reliability

Benefits

  • Opportunity to work on cutting-edge AI technologies
  • Collaborative work environment with industry experts
  • Involvement in transformative projects across finance sectors
  • Access to professional development and training programs
  • Potential for relocation and travel opportunities
Full Job Description
Job Description

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.

Required Skill and Experience
• 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

Preferred Skill and Experience
• 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

Additional Required Qualifications
• 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.

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.

About Infosys

Infosys Limited is an Indian multinational corporation that provides business consulting, information technology and outsourcing services. It has its headquarters in Bangalore, Karnataka, India. Infosys is the second-largest Indian IT company after Tata Consultancy Services by 2017 revenue figures and the 596th largest public company in the world based on revenue. On 31 March 2018, its market capitalisation was $37.32 billion. The credit rating of the company is A? (rating by Standard & Poor's).
Learn more about Infosys
Size
314,015 employees
Market Cap
$77.5 billion
Industry
Net Income
$178.5 billion
Founded
2004
5 Year Trend
+12.2%
Revenue
$945.9 billion
NASDAQ

Similar Jobs

More Jobs at Infosys

More Information Technology Jobs

Find similar Data Modeler with Data Quality & Data Governance experience jobs: