Fiserv is looking to transform financial services technology to benefit its clients by fueling smarter decisions and driving innovation through impactful data engineering, integration, and warehousing solutions.
Requirements
- 6+ years of experience building large-scale big data applications.
- 3+ years of technical leadership, specifically developing data solutions, building frameworks, and designing solutions for processing large volumes of data using data processing tools and Big Data platforms.
- 3+ years of experience building Data Lakes, EDW, and data applications on Azure cloud.
- Experience using 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.
- Experience with 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.
- Experience with machine learning frameworks and data science workflows.
- Experience utilizing containerization technologies like Docker and orchestration tools like Kubernetes.
Responsibilities
- 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.
Other
- 10+ years of experience in an IT related role.
- This role is on-site Monday through Friday.
- In order to be considered, you must be legally authorized to work in the U.S. without need for sponsorship now or in the future.
- This is a full-time, direct-hire position, and no contract options for unsolicited agency submissions will be considered.
- Apply using your legal name
