Job Description: Senior Data Quality Engineer (Ataccama)

A Senior Data Quality Engineer at Ataccama is responsible for designing and implementing robust data quality solutions on the Ataccama platform. This role includes performing data quality tasks, developing workflows, and collaborating with various teams to ensure data accuracy and integrity across multiple sources.

To excel as a Senior Data Quality Engineer at Ataccama, strong knowledge in data governance, proficiency in SQL, and experience with the Ataccama ONE platform are crucial. Additionally, analytical skills, attention to detail, and excellent communication abilities are necessary to succeed in this role.

Yes, the Senior Data Quality Engineer role at Ataccama is fully remote, providing you with the flexibility to work from anywhere while being part of a dynamic and supportive team.

As a Senior Data Quality Engineer at Ataccama, your responsibilities include developing data quality jobs, implementing monitoring dashboards, managing metadata, and ensuring compliance with data governance best practices to maintain high data integrity standards.

In this role, you will work on innovative projects related to data quality, focusing on enhancing a self-service company-wide platform that allows various teams to deploy and access AI solutions seamlessly within the organization.

The work environment at Ataccama is collaborative, dynamic, and built upon innovation. You'll be part of a team that values professional advancement and provides dedicated support to help you excel in your role.

Ataccama is committed to professional growth, offering opportunities for continuous learning, collaboration with cross-functional teams, and exposure to cutting-edge technologies that enhance your expertise and contribute to your career advancement.

Data quality is essential in engineering as it ensures that the data used for decision-making is accurate, reliable, and consistent. High data quality leads to better insights, effective solutions, and can significantly impact business operations positively.

To design a data quality workflow, start by identifying the data sources and defining quality metrics. Next, implement processes for data cleansing, transformation, and validation, and establish monitoring mechanisms to track ongoing data quality.

Common tools for monitoring data quality include Ataccama ONE for its integrated features, SQL for querying data, and various BI tools for dashboarding and reporting. Choose tools based on data type and project requirements.

Once data quality issues are identified, assess their impact, and prioritize them based on severity. Develop strategies for resolution, which may involve data cleansing, updating processes, or enhancing governance policies to prevent recurrence.

In my previous roles, I worked extensively on data governance frameworks, implementing policies for data integrity, privacy regulations compliance, and quality control processes to maintain high standards and foster trust within the organization.

In a past project, I faced a significant inconsistency in customer data across different systems. By conducting a thorough analysis, I identified the root cause, implemented a unified data governance strategy, and achieved seamless data synchronization across platforms.

Collaboration is crucial in my role as a Senior Data Quality Engineer. Working closely with IT and business teams helps align data strategies with business needs and fosters a shared understanding of data-related challenges.

I have considerable experience with the Ataccama ONE platform, utilizing its capabilities for data quality analysis, workflow automation, and metadata management. I can leverage its features to enhance data-driven decision-making effectively.

I have worked with various data integration technologies, including ETL tools and cloud data platforms, to ensure seamless data movement and accessibility across systems while maintaining strict data quality standards.

In data quality projects, I prioritize tasks based on their impact on business operations, compliance requirements, and resource availability. This strategic approach ensures that critical issues are addressed promptly and effectively.