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Total System Services
Alpharetta, GA | Full Time
$86k-106k (estimate)
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Big Data Engineer
$86k-106k (estimate)
Full Time | Business Services 11 Months Ago
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Total System Services is Hiring a Big Data Engineer Near Alpharetta, GA

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 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 · 8 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) · 2 years experience in Kubernetes and Spark on Kubernetes. · Experience with Kafka, Flume and AWS tool stack such as Redshift and Kinesis are preferred. · Experience in writing Spark ETL and Spark Streaming Jobs. · Experience using SDLC Tools such as Git, Jenkins, Jira · 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, SqData, 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 Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department. Join Our Talent Community Global Payments Inc. (NYSE: GPN) is a leading pure play payments technology company delivering innovative software and services to our customers globally. Our technologies, services and employee expertise enable us to provide a broad range of solutions that allow our customers to operate their businesses more efficiently across a variety of channels around the world. Headquartered in Georgia with nearly 24,000 employees worldwide, Global Payments is a member of the S&P 500 with worldwide reach spanning over 100 countries throughout North America, Europe, Asia Pacific and Latin America. For more information, visit www.globalpaymentsinc.com and follow Global Payments on Twitter (@globalpayinc), LinkedIn and Facebook.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$86k-106k (estimate)

POST DATE

05/24/2022

EXPIRATION DATE

09/08/2023

HEADQUARTERS

TACOMA, WA

SIZE

<25

FOUNDED

2013

REVENUE

$5M - $10M

INDUSTRY

Business Services

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The job skills required for Big Data Engineer include Python, Computer Science, Data Warehouse, Analytical Skills, Communication Skills, etc. Having related job skills and expertise will give you an advantage when applying to be a Big Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Big Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Big Data Engineer positions, which can be used as a reference in future career path planning. As a Big Data Engineer, it can be promoted into senior positions as a Database Engineer V that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Big Data Engineer. You can explore the career advancement for a Big Data Engineer below and select your interested title to get hiring information.