Data Quality Engineer

Manpowergroup Services India; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Manpowergroup Services India is seeking a Data Quality Engineer for an on-site role in Mindspace, Hyderabad. The position requires 4–7 years of experience and an immediate joiner. The contract tenure is 6 months with performance-based on-roll.

The role involves data profiling, quality rule design using Informatica (IDMC/IICS/CDQ), SQL and Python, and collaboration with data governance teams to ensure data reliability across SAP and non-SAP sources.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.

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).
• 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 with Data Governance, Data Stewards, Data Owners, and process streams to drive issue triage and remediation planning.

Skills

Data quality engineering

Data profiling

SQL

Python

Databricks

Informatica

PySpark

Data remediation

Education

Bachelor's or Master's degree in CS/IS/Data Engineering

Tools

Informatica IDMC

Informatica IICS

Informatica CDQ

Databricks

SQL

Python

Job description

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.