QA Manager (Data, ETL)

Posted 6 Days Ago
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Bucharest
Hybrid
Mid level
Enterprise Web • Fintech • Financial Services
The Role
As a QA Manager in the ESG Data Governance team, you will lead a team of QA Engineers to oversee data quality in the Sustainalytics Data Lake. Responsibilities include managing test plans, defect reviews, continuous improvement of processes, and ensuring data quality standards are met through collaboration with various stakeholders.
Summary Generated by Built In

About the Role
We are looking for a highly versatile, motivated, and collaborative QA Manager to join the ESG Data Governance team, contributing to the team's mandate of facilitating consumption of data. The team is focused on creating dataset expertise, increasing Sustainalytics Products data quality, and supporting product releases through the Data Lake pipeline.
Together with your 3 direct reports, you will oversee the Sustainalytics Data Lake content and structure using Great Expectation suite, ensuring the product data is subject to quality standards, expanding expertise on Quality Framework by building partnership with Producers to ensure quality increase upstream
Job Responsibilities- Lead and manage a team of 3 QA Engineers, with a hands-on approach- Contribute to Data Lake Integration Program initiatives, ensuring adherence to organizational objectives- Evaluate test results against expected results, implements improvements to process and recommends alternative testing as needed.- Drafts, revises and approves test plans and scripts- Maintain defect triage process and continuous defect review- Offer continuous improvement by assessing customer issues for root cause and future prevention- Build Data Quality partners network (products managers, producers, consumers, database engineers, release and data quality managers) ensuring product quality increase- Build expertise on ESG products (including data modeling)
Qualifications- +3 years quality assurance, data management and data operations experience- +2 years people management experience- Strong knowledge of software development methodologies.- Strong understanding of databases, data structures and data modeling- Team player atitude- Understanding project and product management tools and concepts.- Knowledge of engineering practices such as deployment pipelines and continuous integration- Strong influencing skills to drive outcomes within cross functional teams- Ability to learn and adapt to change- Strong process orientation- Strong analytical and problem-solving skills
315_Sustainalytics SRL Legal Entity
Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

What the Team is Saying

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The Company
HQ: Chicago, IL
12,700 Employees
Hybrid Workplace
Year Founded: 1984

What We Do

At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.

Why Work With Us

Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!

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