Data Quality Engineer

3 semanas atrás

Campinas, São Paulo, Brasil Share People Hub Tempo inteiro
About Share People Hub

Share People Hub is a dynamic and innovative company that is part of the ABInBev ecosystem, the largest brewer in the world. We are committed to helping our customers' lives by using technology to create digital solutions that make their lives simpler, their decisions smarter, and their businesses more profitable.

About the Role

We are seeking a talented and detail-oriented Data Quality Engineer to join our team to focus 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 by building and maintaining sophisticated tools and libraries for data quality assessment.

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.
Requirements
  • 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 related 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.
Preferred Qualifications
  • 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.

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