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What will you do
Design and implement comprehensive data quality strategies, ensuring accuracy and consistency in all data assets.
Innovate and design data governance and quality solutions that can be enforced directly at the source, ensuring early interventions and prevention of data inconsistencies.
Guide on implementing data quality checks, validations, and integrations, driving the importance of data quality within the development lifecycle.
Diagnose and address software and data quality anomalies, ensuring that software solutions are robust, reliable, and adhere to data quality standards.
Regularly review code on data validation, transformation, and cleaning processes.
Build tooling to allow data operations to adhere to established quality standards and best practices.
Monitor and optimize software performance, ensuring systems run efficiently and data remains consistent across various data points and modules.
Participate and demonstrate expertise in automation strategy along with contribution to framework development.
Able to translate technical concepts to non-technical teams
Able to mentor and guide the team on data quality tools, techniques, and standards, cultivating a culture of continuous improvement and learning
What will you bring
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
7-10 years of hands-on experience working in Engineering
Experience working with Data and Engineering tools
Proficient in modern testing tools and automation frameworks
Understand data governance and data quality practices
Strong analytical and problem-solving skills, with an unwavering commitment to quality, while working in an Agile environment
Experience in developing automation frameworks for API/UI
Support continuous integration and deployment process improvement and innovation
Clear communication skills to work closely with stakeholders on Sprint/Teasing strategy
Demonstrated efficiency of one of the programming languages (Go, Python, Java, and/or JavaScript)
Hands-on technical expertise in relational data systems like SQL Server, Redshift, S3, Oracle, and Big Query. Expert in SQL
Demonstrated experience in building and maintaining data pipelines using DBT and/or Snowflake. Experience with Atlan, Fivetran, and Astronomer type tools a plus
Self-motivated with a strong sense of ownership and a proactive team player, working quickly and accurately under pressure and time constraints with minimal supervision.
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