Data Quality Engineer

Job Role: Data Quality Engineer

Experience: 4-7 Years

Work Location: Mindspace, Hyderabad

NOTE : Immediate joiner we require

Salary : Open Budget (Depends on current CTC)

Contract Tenure : 6 Months (will onroll- depends on Performance)

Roles & responsibilities:

• Execute data profiling for priority SAP and authoritative non-SAP sources supporting Nucleo priority end-to-end processes.
• Translate profiling results into clear data quality findings, business impact views, and remediation inputs for data owners and
• stewards.
• Design, implement, test, and tune reusable data quality rules, thresholds, alerts, and validation checks using Informatica
• IDMC/IICS/CDQ, SQL, Python, and Databricks.
• Support fit-gap analysis, source-to-target assumptions, mapping logic, transition guardrails, and migration readiness inputs for
• future SAP landscape blueprinting exercise.
• Build consistent profiling output packs, Data Health metrics, dashboards, and technical documentation to support transparency
• and decision making.
• Collaborate closely with Data Governance, Technical Data Stewards, Data Owners, business SMEs, Nucleo Program such as Tech
• Foundation, Finance, and E2E process streams to drive issue triage, root-cause analysis, and remediation planning.

Qualification & Skills:

• Bachelors or Masters degree in Computer Science, Information Systems, Data Engineering, Data Management, or a related field.
• Solid hands-on experience in data quality engineering, data profiling, data validation, data integration, or data migration readiness,
• and data remediation within complex enterprise environments.
• Strong SQL and Python skills, with practical experience in Databricks, Spark SQL, PySpark, and data pipeline development,
• optimization, and troubleshooting.
• Experience designing, developing, and implementing scalable data quality solutions, controls, monitoring frameworks, and automation
• capabilities to improve data reliability and trust.
• Hands-on experience with Informatica (IDMC, IICS, CDQ), including profiling, rule development, mappings, workflow automation,
• monitoring, alerts, and remediation processes.
• Preferred familiarity with SAP and S/4HANA industry-standard end-to-end business processes, with hands-on experience in one or
• more areas such as Order-to-Cash, Source-to-Pay, Record-to-Report, Plan-to-Produce, Forecast-to-Supply Planning, or Design-to
• Market
• Ability to analyze complex data structures, source systems, and business requirements, translating them into effective data quality
• rules, technical solutions, controls, and documentation.
• Strong communication and stakeholder management skills, combined with a collaborative, curious, and accountable mindset, with
• experience working in Agile, cross-functional, and global team environments.

We offer :

• A high-impact role, helping shape the trusted data foundation for Our's ERP transformation.
• The chance to work on critical data across finance, commercial, manufacturing, supply, product, customer, and supplier domains.
• Modern data quality and data management tooling, including Informatica, Databricks, SQL, Python, and cloud-based data platforms.
• A collaborative environment with Data & AI, business domains, process teams, and technology partners working toward one
• enterprise goal.
• A flexible work environment where you can take accountability, make practical improvements, and see your impact on business
• readiness.
• A culture powered by science, creativity, learning, inclusion, and a shared purpose to bring progress to life.

Interested candidates can reach us Immediately:

Email : [email removed]

Whatsapp : [phone removed]

Thanks & Regards,

Manpower Group