Data Quality Analyst

12.0 years

0.0 Lacs P.A.

Mumbai, Maharashtra, India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

dataengineeringtechnologyaihealthcareagiledevelopmentetlgovernanceprofilingmonitoringmanagementintegrationsalesforcesqlqueryinganalysistroubleshootingcommunicationcollaboration

Work Mode

Remote

Job Type

Contractual

Job Description

About Job About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title : Data Quality Key Skills : Data Quality , metadata , ETL , Data Governance,Profiling,Data Lineage Job Locations : PAN INDIA Experience : 12-14 Years Education Qualification : Any Graduation Work Mode : Hybrid Employment Type : Contract to Hire Notice Period : Immediate - 10 Days Job Description: Proven experience (e.g., 7+ years) as a Data Quality Engineer or similar role. Strong practical experience with Acceldata or similar data quality monitoring and observability platforms. Familiarity with Atlan or other modern data catalog and metadata management tools. Familiarity with Fivetran / data ingestion application for data integration and understanding its data transformation capabilities. Familiarity in using DemandTools for data quality management within Salesforce. Solid understanding of data quality principles, methodologies, and best practices. Strong SQL skills for data querying and analysis. Experience with data profiling and data analysis techniques. Excellent analytical, problem-solving, and troubleshooting skills. Strong communication and collaboration skills. Ability to work independently and manage tasks effectively in a remote environment. Show more Show less

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