Data Quality Engineer
Há 2 dias
Share People Hub is a leading organization in the industry, partnering with ABI Growth Group to drive innovation and growth. Our team is passionate about using technology to create digital solutions that make a real impact.
About the RoleWe are seeking a highly skilled Data Engineer to join our team, focusing on developing and optimizing data quality measurement tools and library formats. The successful candidate will play a critical role in ensuring the accuracy, reliability, and integrity of our data assets.
Key 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 data engineers, data scientists, and analysts 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.
- Experience with data quality assessment methodologies and metrics.
- Familiarity with data governance and data privacy regulations.
- Experience with real-time data processing and streaming technologies.
- Knowledge of data visualization tools (e.g., Tableau, Power BI) for presenting data quality metrics.
We offer a dynamic and supportive work environment, with opportunities for growth and development. Our team is passionate about using technology to create digital solutions that make a real impact.
What We Offer:- 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
We are an equal opportunity and affirmative action employer, committed to diversity and inclusion in the workplace.
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