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Architect
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Architect
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Job Description
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
Metadata Management & Data Governance:
Collaboration & Communication
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.
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
Metadata Management & Data Governance:
Collaboration & Communication
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.
More Info
Job Type:
Industry:
Function:
Employment Type:
Key Skills
Acceldata
DemandTools
Salesforce data model and administration
Atlan
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