Senior Data Engineer

Alpharetta, Georgia, United States

Fiserv

Fiserv is a global fintech and payments company with solutions for banking, global commerce, merchant acquiring, billing and payments, and point-of-sale.

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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.
  
What you will do:

  • 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

What you will need to have: 

  • 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+ 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

What would be great to have:

  • 1+ years’ experience with machine learning frameworks and data science workflows
  • 1+ years’ experience in containerization technologies like Docker and orchestration tools like Kubernetes

#LI-RM1

Salary Range

$99,400.00 - $177,600.00

These pay ranges apply to employees in the District of Columbia. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

Thank you for considering employment with Fiserv.  Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

What you should know about us:

Fiserv is a global leader in payments and financial technology with more than 40,000 associates proudly serving clients in more than 100 countries. As one of Fortune® magazine's "World's Most Admired Companies™" 9 of the last 10 years, one of Fast Company’s Most Innovative Companies, and a top scorer on Bloomberg’s Gender-Equality Index, we are committed to innovation and excellence. 

Our commitment to Diversity and Inclusion:

Fiserv is an Equal Opportunity Employer, and we welcome and encourage diversity in our workforce that reflects our world. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by law. 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information.

Any communications from a Fiserv representative will come from a legitimate business email address. We will not hire through text message, social media, or email alone, and any interviews will be conducted in person or through a secure video call. We won’t ask you for sensitive information nor will we ask you to pay anything during the hiring process. We also won’t send you a check to cash on Fiserv’s behalf.

If you see suspicious activity or believe that you have been the victim of a job posting scam, you should report it to your local FBI field office or to the FBI’s Internet Crime Complaint Center.

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Category: Engineering Jobs

Tags: APIs Architecture Azure Big Data Cassandra Computer Science Data governance Data pipelines Data quality Docker DynamoDB Engineering FinTech HBase Java Kafka Kubernetes Machine Learning Mathematics NoSQL Pipelines Privacy Python Security Spark SQL Streaming

Perks/benefits: Career development

Region: North America
Country: United States

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