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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Are you ready to take your career in data engineering to the next level? As a Staff Data Engineer at Visa in Atlanta, you'll be at the forefront of innovating and shaping the data landscape. In this role, you'll lead a talented team of data engineers, fostering collaboration and ensuring that our data initiatives align with business objectives. Your days will be filled with transforming complex business needs into efficient data models and creating robust data pipelines that support our cutting-edge projects. Whether it's developing and maintaining expansive data lakes or implementing CI/CD pipelines for our data solutions, your expertise will shine across various domains. You’ll also play a key role in defining data load procedures and ensuring the highest standards of operational data management. Proficiency in big data tools like Hadoop, Hive, and Spark, alongside programming skills in Scala, Python, and SQL, will be essential. Moreover, your ability to analyze structured and unstructured datasets, both on-cloud and on-premise, will allow you to craft scalable data strategies while mentoring junior engineers. This hybrid position at our Atlanta office offers a fantastic chance for you to make a lasting impact within the data engineering field. Join us and help steer our data engineering initiatives towards success!
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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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