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Senior Data Quality

Há 1 mês

São Paulo, São Paulo, Brasil Bold Metrics Inc. Tempo inteiro

Bold Metrics is the leading fit and sizing solution on the market today for the world's top retailers and brands. We are a venture-backed startup that is making a big impact on the environment, forever changing the landscape of eCommerce. We are a remote-first company that is full of inspiring and friendly people.

We are currently searching for a Senior Data Quality Engineer to join our fast-growing team. This position is for someone located in São Paulo, Brazil who is able to come into the office in-person at least once weekly. In this position, you will have the opportunity to work with some of our biggest projects within the retail industry.

About You:

You are a humble, passionate, and experienced engineer that is looking for a collaborative and analytical Data Quality Engineering role to support the execution of our product deliveries and client reporting services. This comprises validating the data flow as a whole, from data sources to data consumers, including BI dashboards and ML models.

As our Senior Data Quality Engineer, you are an extremely detail-oriented, out-of-the-box problem solver with a commitment to doing high-quality work. You will work with the Engineering, Product, and Customer Success teams to support the flow of cleaned, quality data to ultimately drive customer success.

How You Will Make an Impact:

  • Lead the data quality engineering team and efforts across the organization
  • Identify metrics used to measure data quality
  • Establish data validations that cover both functional and domain-specific KPI data
  • Monitor data quality metrics and perform root cause analysis of data quality issues, taking appropriate steps to address any issues
  • Make sure that data quality processes are integrated into the data architecture
  • Support all the data governance initiatives
  • Understand the data and KPI reporting requirements for clients, ensuring that the data quality initiatives align

Skills and Qualifications: (even if you do not meet these skills 100%, we still welcome you to apply)

  • BSc or MSc in Engineering, Mathematics, Physics, Computer Science, or related field
  • 6+ years' experience in data engineering and quality assessment roles
  • High level of proficiency with Python and SQL
  • Some experience with DBT would be a bonus
  • A strong understanding of data management concepts including data profiling and mapping
  • Skilled in performing data quality assessments to identify data inconsistencies, inaccuracies, and incompleteness in data products
  • Strong analytical skills to identify patterns and trends in data and data quality issues
  • Good understanding of data governance concepts including data privacy and security
  • A mindset of continuous improvement, identifying areas for improvement within the data quality process and workflows
  • Ability to troubleshoot and solve data quality issues, including identifying the root cause of problems and implementing effective solutions
  • Above-bar communication skills, both written and oral, to interface in a collaborative team environment
  • Well-organized individual that pays close attention to detail
  • Able to effectively prioritize in a fast-paced and fast-changing environment
  • Bonus if you have experience integrating with large retail e-commerce sites

About Us:

Bold Metrics, established in 2017, is a SaaS solution for retailers and brands to reduce returns, improve sustainability and supercharge their supply chain from the ground up. Using a comprehensive set of machine learning and AI technologies to accurately capture customer body measurements, we help apparel brands unlock the power of body data to meet the demands of today's increasingly personalized world.

Learn more about us at boldmetrics.com

We strive to create a place to work where we all feel safe, empowered, engaged, and inspired. We are an equal opportunity employer committed to offering employment that is based upon personal capabilities and qualifications without discrimination based on race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

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