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 as a Staff Data Engineer in our vibrant Atlanta office, where your expertise in data engineering can make a significant difference! In this role, you'll have the chance to lead and mentor a talented team of data engineers, coordinating efforts with other departments to manage and prioritize exciting projects. You'll be at the forefront of developing our data strategy, guiding the roadmap and execution of key initiatives. Your day-to-day will involve translating business needs into effective data models and building robust data pipelines to support our data lakes. We believe collaboration is key, so you'll work closely with stakeholders across the organization to understand their unique data needs and deliver tailored solutions. As a Staff Data Engineer, familiarity with big data tools like Hadoop, Hive, and Spark will be vital, along with proficiency in programming languages such as Scala, Python, and SQL. We also expect you to demonstrate strong analytical skills when working with both structured and unstructured datasets, whether in our cloud environment or on-premises. If you're ready to take the next step in your career and thrive in an innovative environment, we’d love to hear from you!
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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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