Data Quality Engineer

IND.Pune, India

Workday

Workday unites HR and finance on one AI platform to help elevate humans and supercharge work to keep business moving forever forward.

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Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

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About the Team

About Workday

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable.

Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

About the Team

The Enterprise Data & AI Technologies and Architecture (EDATA) organization is a dynamic and evolving team that is spearheading Workday’s growth through trusted data excellence, innovation, and architectural thought leadership. Equipped with an array of skills in data science, engineering, and analytics, this team orchestrates the flow of data across our growing company while ensuring data accessibility, accuracy, and security. With a relentless focus on innovation and efficiency, Workmates in EDATA enable the transformation of complex data sets into actionable insights that fuel strategic decisions and position Workday at the forefront of the technology industry.

EDATA is a global team distributed across the U.S, India and Canada.

About the Role

Join a pioneering organization at the forefront of technological advancement, dedicated to leveraging data-driven insights to transform industries and drive innovation. 

We are seeking a highly skilled and motivated Data Quality Engineer to join our dynamic team. The ideal candidate is someone who loves to learn, is detail oriented, has exceptional critical thinking and analytical skills.  As a Data Quality Engineer, you will play a critical role in ensuring the accuracy, consistency, and completeness of our data across the enterprise data platform. You will be responsible for designing, developing, and implementing data quality processes, standards, and best practices across various data sources and systems to identify, resolve data issues. This role offers an exciting opportunity to learn, collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to drive data quality improvements and enhance decision-making capabilities.

Responsibilities

The incumbent will be responsible for (but not limited to) the following:

  • Design and automate data quality checks; resolve issues and improve data pipelines with engineering and product teams.

  • Collaborate with stakeholders to define data quality requirements and best practices.

  • Develop test automation strategies and integrate checks into CI/CD pipelines.

  • Monitor data quality metrics, identify root causes, and drive continuous improvements.

  • Provide guidance on data quality standards across projects.

  • Work with Data Ops to address production issues and document quality processes.

About You

Basic Qualifications

  • 5+ years of experience as a Data Quality Engineer in data quality management or data governance.

  • Good understanding of data management concepts, including data profiling, data cleansing, and data integration.

  • Proficiency in SQL for data querying and manipulation. Develop and execute automated data quality tests using tools like SQL, Python (Pyspark), and data quality frameworks.

  • Hands-on experience with cloud platforms (AWS/GCP), data warehouses (Snowflake, Databricks, Redshift), and integration tools (Snaplogic, dbt, Talend, etc.)

  • Exposure to data quality tools (e.g., Acceldata, Tricentis) and CI/CD or DevOps practices is a plus.

  • Experience with data quality monitoring tools (Acceldata, Tricentis) a plus.

Other Qualifications

  • Proven ability to prioritize and manage multiple tasks in a fast-paced environment.

  • Certification in relevant technologies or data management disciplines is a plus.

  • Analytical mindset with the ability to think strategically and make data-driven decisions.

If you are a results-driven individual with a passion for data and analytics and a proven track record in data quality assurance, we invite you to apply for this exciting opportunity. Join our team and contribute to the success of our data-driven initiatives.



Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture AWS CI/CD Consulting Databricks Data governance Data management DataOps Data pipelines Data quality dbt DevOps Engineering GCP Pipelines Privacy PySpark Python Redshift Security Snowflake SQL Talend

Perks/benefits: Career development Flex hours Home office stipend

Region: Asia/Pacific
Country: India

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