Why Join Iris

Are you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that truly values your talent and ambitions

Join Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story.

About Us

At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.

With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us

At Iris, every role is more than a job — it's a launchpad for growth.

Our Employee Value Proposition, Build Your Future. Own Your Journey. reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.

We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

Curious what it's like to work at Iris Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description

PRIMARY RESPONSIBILITIES-

Evaluate and monitor the quality of data within enterprise databases, data warehouses, and business applications, identifying inconsistencies, inaccuracies, and anomalies.
Define, track, and report key data quality metrics (completeness, consistency, validity, accuracy, timeliness) to stakeholders, producing regular dashboards and summary reports.
Investigate causes of data quality issues, collaborating with stakeholders to identify process gaps, system errors, and user behaviors that contribute to poor data quality.
Develop and execute processes for data cleansing, deduplication, standardization, and enrichment to improve the usability and reliability of organizational data.
Test new system releases, migrations, and data integrations to validate data quality before deployment.
Analyze data sets to understand their structure, content, and quality using profiling tools and techniques.
Work closely with data owners, business analysts, developers, and IT teams to address data issues and integrate data quality requirements into new projects and systems.
Support data governance initiatives by enforcing data standards, policies, and procedures across the organization.
Create and maintain comprehensive documentation for data quality processes, issues identified, remediation actions, and best practices.
Lead or participate in projects aimed at improving data quality through process optimization, automation, and adoption of new technologies.

Knowledge/Skills –

Advanced SQL skills for querying, updating, and analyzing data in relational databases
Experience with data profiling and data quality tools such as Informatica Data Quality, Talend, Trifacta, or similar platforms
Knowledge of data visualization tools like Tableau or Power BI for reporting metrics
Familiarity with Python or R for data manipulation and analysis
Understanding of ETL processes, data warehousing concepts, and data governance frameworks
Strong problem-solving abilities and exceptional attention to detail
Excellent written and verbal communication skills to interact with technical and non-technical stakeholders
Ability to manage multiple tasks, prioritize work, and meet deadlines in dynamic environments
Collaborative mindset, proactive attitude, and willingness to learn and adapt
Understanding of data protection and privacy laws and compliance requirements

Education And Experience –

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, or related quantitative field
3-5 years of hands-on experience in data quality analysis, data validation, or data management roles within enterprise environments

Technical Skills

Advanced SQL proficiency with experience in complex joins, subqueries, and data manipulation
Experience with at least one enterprise data quality tool (Informatica, Talend, IBM InfoSphere, etc.)
Proficiency in Excel for data analysis and reporting

Mandatory Competencies

Data Governance - Data Governance - Collibra

Data Governance - Data Governance - Alation

Middleware - Integration Middleware - Informatica

Data Governance - Data Governance - Manta

Beh - Communication and collaboration

Perks And Benefits For Irisians

Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.

Data Analyst - Senior Engineer

Senior Data Engineer / Data Analyst