Fiserv-posted 9 months ago
$99,400 - $177,600/Yr
Full-time • Senior
Alpharetta, GA
Professional, Scientific, and Technical Services

Calling all innovators - find your future at Fiserv. We're 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, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Senior Data Engineer What does a successful Senior Data Engineer do at Fiserv? You will build and take ownership of the design and development of large-scale data engineering, integration, and warehousing projects, building custom integrations between cloud-based systems using APIs. You will write complex and efficient queries to transform raw data sources into easily accessible models by using the Data integration tool with coding across several languages such as Java, Python, and SQL. You will also architect, build, and launch new data models that provide intuitive analytics to the team and Build data expertise and own data quality for the pipelines you create.

  • Collaborate with cross-functional teams to design scalable data architecture and create robust data processing pipelines
  • Design and implement data models that align with business requirements, enabling seamless data access and analytics
  • Identify opportunities to enhance data processing efficiency and implement performance optimizations for our data pipelines
  • Implement data quality checks and validation processes to ensure the accuracy and integrity of our data
  • Collaborate with the security team to enforce data privacy standards, ensuring compliance with relevant regulations
  • Work closely with data scientists, analysts, and software engineers to understand data needs, provide technical support, and troubleshoot data-related issues
  • Maintain comprehensive documentation of data engineering processes, data flows, and system configurations
  • 10+ years of overall IT experience
  • 6+ years' experience in building large-scale big data applications development
  • 3+ years of technical leadership skills, demonstrating expertise in developing data solutions, building frameworks, and designing solutions for processing large volumes of data using data processing tools and Big Data platforms
  • 3+ years' experience building Data Lake, EDW, and data applications on Azure cloud
  • 2+ years' experience in major programming/scripting languages like Java, and/or Python and with cluster and parallel architecture, high-scale databases and SQL, and exposure to NoSQL databases like Cassandra, HBase, DynamoDB, and Elastic Search
  • 2+ years' experience in real-time data processing and streaming technologies like Kafka / Apache Beam/ Spark and working with PCI Data, collaborating with data scientists including data governance, security, and privacy principle
  • Bachelor's degree in data science, Computer Science, Engineering, Mathematics or an equivalent combination of education, work, and/or military experience
  • 1+ years' experience with machine learning frameworks and data science workflows
  • 1+ years' experience in containerization technologies like Docker and orchestration tools like Kubernetes
  • Salary Range $99,400.00 - $177,600.00
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