Job Details

Big Data Engineer

Alpharetta, Georgia, United States

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.

TSYS is looking for a Big Data Engineer to play a key role in building their industry leading Customer Information Analytics Platform. Are you passionate about Big Data and highly scalable data platforms? Do you enjoy building end to end Analytics solutions to help drive business decisions? And if you have experience in building and maintaining highly scalable data warehouses and data pipelines with high transaction volumes then we need you!

The full stack Data Engineer will design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for analytics and deep learning. Implement data ingestion routines both Real Time and batch using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and Big data tools. logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Produce comprehensive, usable dataset documentation and metadata. Provides input and recommendations on technical issues to the project manager.

Basic Qualifications

  • 5+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools.
  • 5+ years of work experience with very large data warehousing environment
  • 3+ years of experience data modeling concepts
  • 3+ years of Python development experience
  • 2+ years' experience in Big Data stack environments (EMR, Hadoop, Glue, Hive)
  • Experience with Kafka, Flume and AWS tool stack such as Redshift and Kinesis are preferred.
  • Experience in writing Spark ETL jobs
  • Experience using software version control tools (Git, Jenkins, Apache Subversion)
  • Demonstrated strength in architecting data warehouse solutions and integrating technical components
  • Good analytical skills with excellent knowledge of SQL.
  • Excellent communication skills, both written and verbal

Preferred Qualifications

  • Experience working with CDC solutions like Golden Gate, Syncsort, Attunity
  • Java Development Experience is Preferred
  • Experience in gathering requirements and formulating business metrics for reporting.
  • Experience with Kafka, Flume and AWS tool stack such as Glue ETL, Redshift and Kinesis are preferred.
  • Experience building on AWS using S3, EC2, Redshift, DynamoDB, Lambda, QuickSight, etc.
  • AWS certifications or other related professional technical certifications
  • Experience with cloud or on-premise Middleware and other enterprise integration technologies
Minimum Qualifications
  • BS in Computer Science, Information Technology, Business/Management Information Systems or related field
  • Typically minimum of 4 years - Professional Experience In Coding, Designing, Developing And Analyzing Data. Typically has an advanced knowledge and use of one or more front/Back End languages/technologies and a moderate understanding of the other corresponding end language/technology from the following but not limited to; two or more modern programming languages used in the enterprise, experience working with various APIs, external Services, experience with both relational and NoSQL Databases.

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