Job Role: Data Quality Services
Salary: ₹14,88,350 per year
Location: Bengaluru, Karnataka
Company: Capgemini
Qualifications: Bachelor’s degree
ABOUT CAPGEMINI
Job Description
Data Quality Services (DQS) guarantees the accuracy, consistency, and reliability of statistics across structures. This function includes growing and imposing facts quality techniques, conducting records cleansing and validation, and tracking facts integrity. Responsibilities encompass identifying facts and troubles, designing and applying facts and high-quality rules, and collaborating with stakeholders to resolve records-related problems. The position calls for talent in statistics control tools, sturdy analytical skills, and interest in elements. The purpose is to decorate records first-class, aid knowledgeable decision-making, and ensure compliance with facts governance standards.
Qualifications and Skills for Data Quality Services:
Qualifications:
Educational Background:
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Statistics, or a related discipline. Advanced tiers or certifications (e.g., Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP)) are fine.
Experience:
- 3-5 years of revel in information management, information excellent, or an associated area. Experience must encompass hands-on work with information pleasant equipment and methodologies.
- Proven enjoy in records analysis, facts cleansing, and information validation procedures.
- Experience operating with large datasets and understanding information warehousing principles is favored.
Technical Skills:
- Proficiency in statistics and information control equipment (e.g., Informatica DQ, Talend, SAS Data Quality, Microsoft SQL Server Data Quality Services).
- Strong knowledge of SQL for querying and manipulating statistics.
- Familiarity with information integration equipment and ETL methods. (Data Quality Services)
- Experience with facts governance frameworks and statistics stewardship practices.
- Strong knowledge of SQL for querying and manipulating statistics.
Certifications:
- Relevant certifications in information control or exceptional (e.g., Certified Data Management Professional (CDMP), Data Quality Certification).
Skills:
Analytical Skills:
- Strong analytical and problem-solving talents to become aware of and cope with data first-rate issues.
- Ability to perform records profiling, facts analysis, and information cleansing.
Attention to Detail:
- Exceptional attention to detail and accuracy in reviewing information and implementing information exceptional rules.
Technical Proficiency:
- Ability to use statistics visualization and reporting tools (e.g., Tableau, Power BI) to present information great metrics, and insights.
- Understanding of information modeling, database systems, and information float procedures.
Communication Skills:
- Excellent verbal and written verbal exchange competencies for documenting records excellent processes and interacting with stakeholders.
- Ability to convey technical records to non-technical stakeholders successfully. (Data Quality Services)
Project Management:
- Strong organizational and mission control capabilities to oversee statistics best projects and ensure well-timed completion.
- Ability to manage more than one responsibility and prioritize successfully.
- Strong organizational and mission control capabilities to oversee statistics best projects and ensure well-timed completion.
Collaboration:
- Ability to work collaboratively with IT groups, facts stewards, and business units to ensure facts satisfactory requirements are met and maintained.
Adaptability:
- Flexibility to evolve to evolving statistics environments and technology at the same time as maintaining a focus on information best targets.
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