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Data Quality Engineer
2 meses atrás
Share People Hub is a leading company in the industry, and we're looking for a talented Data Engineer to join our team. As a Data Engineer, you will play a critical role in ensuring the accuracy, reliability, and integrity of our data assets.
About the RoleWe are seeking a skilled Data Engineer to develop and optimize data quality measurement tools and library formats. The successful candidate will work closely with our data engineers, data scientists, and analysts to integrate data quality tools and libraries into existing data workflows and pipelines.
Responsibilities- Design, develop, and maintain data quality measurement tools that automate the process of assessing and improving data quality across various data sources and systems.
- Build and manage reusable libraries and frameworks for data quality checks, validations, and metrics that can be integrated across different data pipelines and platforms.
- Implement data quality metrics and standards, including accuracy, completeness, consistency, timeliness, and uniqueness.
- Collaborate with cross-functional teams to integrate data quality tools and libraries into existing data workflows and pipelines.
- Monitor the performance of data quality tools and libraries, ensuring they meet the required performance benchmarks and handle data volumes efficiently.
- Create and maintain comprehensive documentation for data quality tools, libraries, and processes to support user training and future development.
- Identify and resolve issues related to data quality measurement tools, including debugging and optimizing code and processes.
- Establish and promote best practices for data quality management and measurement within the organization.
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. Master's degree preferred.
- Proven experience as a Data Engineer or in a similar role with a focus on data quality management, tool development, or library creation.
- Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Strong programming skills in Python, with experience using PySpark for data processing.
- Hands-on experience with Databricks for managing and running big data workloads.
- Experience with data quality frameworks, tools, and techniques (e.g., Apache Griffin, Great Expectations).
- Familiarity with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions.
- Knowledge of cloud platforms (e.g. Azure) and their data services.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively with cross-functional teams.
- Ability to manage multiple tasks and projects effectively.
- Performance-based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- Wellhub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
*Rules applied
Equal Opportunity & Affirmative Action:
Share People Hub is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
