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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Join Visa in Atlanta as a Staff Data Engineer, where you will take the reins in leading and mentoring a skilled team of data engineers. In this dynamic position, you’ll get to coordinate with various teams, manage and prioritize projects, and drive the strategy and execution of key data engineering initiatives that truly make a difference. You will be at the forefront of transforming business needs into data models while creating and maintaining robust data pipelines and data lakes. Your expertise will also be essential in implementing and maintaining CI/CD pipelines for our data solutions. Ideal candidates are well-versed in big data tools like Hadoop, Hive, and Spark, proficient in programming languages such as Scala, Python, and SQL, and possess strong analytical skills to handle structured and unstructured datasets in both cloud and on-prem environments. Collaborating with stakeholders to understand their data requirements and deliver insightful solutions is key, as is the ability to define and manage data load procedures that ensure top-notch data quality. This hybrid role at Visa offers an exciting opportunity for skilled data professionals eager to drive impactful data engineering projects!
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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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