Job
Description
Positin Name - Data Quality Engineer Experience - 8+ Years Location - Remote Responsibilities: • Data Quality Implementation & Monitoring (Acceldata & DemandTools): ◦ 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. Show more Show less
