Big Data Engineer, Senior

Calling all innovators - find your future at Fiserv.

Were Fiserv a global leader in Fintech and payments and we move money and information in a way that moves the world. We connect financial institutions corporations merchants and consumers to one another millions of times a day - quickly reliably and securely. Any time you swipe your credit card pay through a mobile app or withdraw money from the bank were involved. If you want to make an impact on a global scale come make a difference at Fiserv.

Job Title

TITLE: Big Data Engineer Senior

EMPLOYER: Fiserv Solutions LLC

LOCATION: Milwaukee WI (and various unanticipated locations throughout the US subject to authorization from management)

DUTIES: Design develop and implement data products to meet specific client requirements and business objectives. Manage the end-to-end process of data deliveries to ensure timely accurate and secure data transfers to clients. Provide support and maintenance for data jobs to ensure their continuous and reliable operations. Conduct rigorous product validation against functional specifications and client expectations to confirm the data products readiness and suitability for deployment. Perform in-depth data quality analysis identifying and resolving anomalies inconsistencies and errors to maintain data integrity. Work closely with developers analysts and client-facing teams to gather requirements troubleshoot issues and communicate progress on product development and data delivery status.

REQUIREMENTS: Bachelors degree in Computer Science Computer Engineering Electronic Engineering or a related field and 4 years in any job title involving data analytics and data engineering experience. Prior experience must include: 4 years managing end-to-end data delivery pipelines and production support; 4 years working in SQL and with relational and columnar databases; 4 years programming in Python Scala or Java; 4 years working with data validation and quality assurance practices; 3 years building repeatable data pipelines using ETL frameworks; 3 years working with orchestration and scheduling tools for job workflows; 3 years working with cloud data platforms and storage including Azure AWS or GCP; 3 years working with data delivery mechanisms and secure file transfer patterns; 2 years working with version control (GIT) and CI/CD pipelines for deployment and change management; and 2 years of data analysis identifying patterns and trends in large data sets.

TRAVEL: None

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