The Staff Data Engineer role involves leading and mentoring a team of data engineers, coordinating with other teams to manage and prioritize projects, and driving the strategy, roadmap, and execution of key data engineering initiatives. The role requires understanding and translating business needs into data models, creating robust data pipelines, and developing and maintaining data lakes. It also involves implementing and maintaining CI/CD pipelines for data solutions. The candidate should be able to define and manage data load procedures, implement data strategies, and ensure robust operational data management systems. Collaborating with stakeholders across the organization to understand their data needs and deliver solutions is also a key part of this role. The ideal candidate will be proficient in big data tools like Hadoop, Hive, and Spark, programming languages such as Scala, Python, SQL, and have strong analytical skills related to working with structured and unstructured datasets in Cloud and on-prem environments
This position is based in Visa's offices in Atlanta, USA, and presents an excellent opportunity for those looking to make a significant impact in the field of Data Engineering.
Essential Functions:
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
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At Visa, we are excited to announce an opening for a Staff Data Engineer in our Atlanta office! In this pivotal role, you'll take the lead in mentoring a talented team of data engineers while coordinating with various departments to prioritize and manage important data projects effectively. Here at Visa, we believe that understanding and translating business needs into actionable data models is crucial, and as a Staff Data Engineer, you'll have the opportunity to create robust data pipelines and maintain extensive data lakes. You’ll be implementing and overseeing CI/CD pipelines for our sophisticated data solutions, ensuring our operational data management systems thrive. Collaboration is key in our culture, and you'll be working hand-in-hand with stakeholders to discern their data needs, delivering tailored solutions that foster growth and innovation. We’re looking for candidates who are well-versed in big data tools like Hadoop, Hive, and Spark, and those proficient in programming languages such as Scala, Python, and SQL. Your analytical skills will be tested as you work with both structured and unstructured datasets in diverse environments, both in the cloud and on-premises. If you're ready to make a significant impact in the field of Data Engineering, we would love to have you on our team to drive forward our exciting initiatives.
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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...
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