Ataccama Engineer

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 24 Month(s)

Skills

Amazon Redshift
Amazon Web Services
Apache NiFi
Cloud Computing
Collaboration
Conflict Resolution
Continuous Improvement
Dashboard
Data Cleansing
Data Governance
Data Integration
Data Modeling
Data Profiling
Data Quality
Data Validation
Databricks
Extract
Transform
Load
Good Clinical Practice
Google Cloud Platform
HIPAA
Informatica
KPI

Job Details

Ataccama Data Quality Engineer

We are seeking an experienced Data Quality Engineer with expertise in Ataccama ONE to design, implement, and maintain enterprise-level data quality solutions. The role involves profiling, cleansing, standardizing, and monitoring large-scale data across multiple domains, ensuring compliance with organizational and regulatory standards.

Key Responsibilities:

  • Design and develop data quality frameworks and rules using Ataccama ONE.

  • Perform data profiling, anomaly detection, and root cause analysis to identify data quality issues across structured and unstructured datasets.

  • Implement data cleansing, standardization, and enrichment workflows in Ataccama.

  • Configure data quality dashboards and monitoring solutions to track KPIs and data health.

  • Collaborate with data governance, data stewards, and business teams to define data quality rules and standards.

  • Integrate Ataccama with enterprise data platforms (e.g., Snowflake, Databricks, Redshift, Azure, AWS).

  • Automate validation processes to ensure data consistency across ETL, streaming, and cloud data pipelines.

  • Work closely with compliance teams to align with regulatory frameworks (GDPR, HIPAA, SOX, etc.).

  • Document data quality processes, maintain metadata, and contribute to continuous improvement initiatives.

Required Skills & Experience:

  • 3 7+ years of experience as a Data Quality Engineer or similar role.

  • Strong hands-on experience with Ataccama ONE (DQ, MDM, RDM modules).

  • Proficiency in SQL for data validation, profiling, and reporting.

  • Experience with data integration/ETL tools (Informatica, Talend, Apache NiFi, etc.).

  • Solid understanding of cloud platforms (AWS, Azure, or Google Cloud Platform) and data lakes/warehouses.

  • Knowledge of data governance and stewardship best practices.

  • Familiarity with data modeling, master data management (MDM), and metadata management.

  • Strong problem-solving skills and ability to analyze large datasets for quality issues.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.