Responsibilities:
Data Quality Implementation & Monitoring (Acceldata & Demand Tools):
Design, develop, and implement data quality rules and checks using Acceldata to monitor data accuracy, completeness, consistency, and timeliness.
Configure and utilize Acceldata to profile data, identify anomalies, and establish data quality thresholds.
Investigate and resolve data quality issues identified by Acceldata, working with relevant teams for remediation.
Leverage DemandTools within our Salesforce environment to identify, merge, and prevent duplicate records across Leads, Contacts, and Accounts.
Implement data standardization and cleansing processes within Salesforce using DemandTools.
Develop and maintain data quality dashboards and reports using Acceldata to provide visibility into data health.
Data Onboarding & Integration Quality:
Collaborate with engineers and platform teams to understand data sources and pipelines built using Fivetran / ingestion tool.
Ensure data transformations within Fivetran to maintain data integrity and quality.
Develop and execute test plans and test cases to validate the successful and accurate onboarding of data into our snowflake environment.
Metadata Management & Data Governance:
Work with the Atlan platform to understand and contribute to the establishment of a comprehensive data catalog.
Assist in defining and implementing data governance policies and standards within Atlan.
Validate the accuracy and completeness of metadata within Atlan to ensure data discoverability and understanding.
Collaborate on data lineage tracking and impact analysis using Atlan.
Collaboration & Communication:
Work closely with data engineers, platform team, data analysts, business stakeholders, and Salesforce administrators.
Clearly communicate data quality findings, risks, and remediation steps.
Participate in data governance meetings and contribute to the development of data quality best practices.
Document data quality rules, processes, and monitoring procedures.
Required Skills & Experience:
Proven experience (e.g., 3+ years) as a Data Quality Engineer or similar role.
Hands-on experience with Fivetran / data ingestion application for data integration and understanding its data transformation capabilities.
Familiarity with Atlan or other modern data catalog and metadata management tools.
Strong practical experience with Acceldata or similar data quality monitoring and observability platforms.
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.
Preferred Skills & Experience:
Experience with other data quality tools or frameworks.
Knowledge of data warehousing concepts and technologies (e.g., Snowflake, BigQuery).
Experience with scripting languages like Python for data manipulation and automation.
Familiarity with Salesforce data model and administration.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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