Workday Recruitment Drive 2025 | Workday Hiring Software Engineer

www.djobbuzz.com 08 May 2025

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At Workday, our employees have always been our number one Core Value. We understand that everyone has unique experiences and perspectives which is why our mission is to create a safe space where all people and ideas are welcomed. Our commitment to value inclusion, belonging, and equity (VIBE™) and creating a brighter workday for all is the cornerstone of all we do. Join us!
Workday is a leading provider of enterprise cloud applications for finance and human resources. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world's largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.
Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.

Conduct thorough data profiling to understand data patterns, identify anomalies, and assess data quality.
Analyze data to identify root causes of data quality issues and propose solutions.
The person in this role should have a good understanding of the data engineering domain with a proven track record of building and supporting data and analytics engineering solutions using modern data engineering tools and technologies.

3+ years of experience in data quality engineering or a similar role.
Strong proficiency in SQL for data querying and manipulation.
Experience with data profiling and data quality assessment tools.
Familiarity with data warehousing (Snowflake) and ETL/ELT processes.
Understanding of data governance principles and best practices.
Experience with scripting languages (e.g., Python) for data automation is a plus.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.
Experience with version control systems like Git.

Develop and implement data quality rules, checks, and validations using SQL and other relevant tools.
Design and implement automated data quality monitoring and alerting systems.
Evaluate and implement data quality tools and technologies.
Automate data quality processes to improve efficiency and scalability.
Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and address data quality concerns.
Communicate data quality findings and recommendations effectively to technical and non-technical audiences.
Document all data quality processes, rules, and findings.
Troubleshoot and resolve data quality issues in a timely and efficient manner.
Develop and implement data remediation strategies.