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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As a Staff Data Engineer at Visa in Atlanta, you’re stepping into an exciting role at the forefront of data engineering. Here, you’ll lead and mentor a talented team of data engineers, ensuring that you not only manage ongoing projects but also set the strategic direction for data initiatives that truly matter. Your work will be vital in understanding business needs and translating them into robust data models that enhance decision-making across the organization. With your expertise, you’ll build scalable data pipelines and maintain data lakes that support both structured and unstructured data. You’ll implement CI/CD pipelines for data solutions, ensuring that the flows are reliable and efficient. Collaboration is key, as you’ll work closely with various stakeholders to identify their data needs and deliver impactful solutions—making a real difference in their operations. Proficiency in big data tools like Hadoop, Hive, and Spark, alongside programming languages such as Scala, Python, and SQL, is crucial for success in this hybrid role. With your strong analytical skills, you’ll tackle complex datasets both in cloud environments and on-premises, paving the way for smarter data management. This position not only allows you to strengthen your technical abilities but also provides ample opportunities for growth and professional development, proving to be a significant milestone in your career in Data Engineering.
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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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