Data Quality Engineer - Python Programming

Description :

Position 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