Data Scientist(2-4 Yrs) - Gurgaon, India - FIS Global

FIS Global
FIS Global
Verified Company
Gurgaon, India

2 weeks ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter


Description

Position Type:

Full time


Type Of Hire:

Experienced (relevant combo of work and education)


Education Desired:

Bachelor of Computer Science


Travel Percentage:

  • 5%


Are you curious, motivated, and forward-thinking? At FIS, you'll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology.

Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.


About the team


Payrix by FIS is a modern platform that provides Payments Facilitation (PayFac) as a service with a full suite of payments and risk management services built for vertical Saas companies.

With Payrix, Saas providers can embed payments and financial services in their native experience and add a new revenue stream in a few weeks.

We have a strong product-market fit and a clear moat that has resulted in an exponential growth of 100% year over year, and we expect the trend to continue.


Payrix is part of WorldPay (an FIS company), who invented payment facilitation enabling technology companies to provide integrated payment solutions, significantly expanding access to modern payment methods to SMBs and rejuvenating the end-user experience.


The Payrix team is a passionate, global team of payments and software experts who provide vertical software companies with an all-in-one platform and a white-glove approach, to capitalize on the opportunities within embedded payments for growth, innovation, and transformation.

Our clients are leading vertical software providers that want to make their products stickier and grow revenue by offering payment solution to their end-customers.


What you will be doing:


  • Ingesting and managing data in AWSbased data stores including S3, Glue, Athena etc.
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
  • Collaborate with portal, operations, risk and finance teams to recognize and help adopt best practices in reporting and analysis: data integrity/quality, pipelines analysis, validation, and documentation
  • Help continually improve ongoing data ingestion, engineering, reporting and analysis processes, automating or simplifying selfservice support for our partners

What you bring:


  • Good experience with schema design and data modeling.
  • Good experience in writing SQL queries.
  • Experience in python (spark) based ETL design, implementation and maintenance.
  • Some ML experience
  • Familiarity working with either Hive, Hadoop, Spark, Presto, Map Reduce or an MPP system.
  • Good communication skills
  • Experience with AWS big data platform
  • AWS S3, Glue, Athena, QuickSight, Lambda
  • AWS CLI, SDK, IAM
  • Highly motivated and openminded with an attitude of learning and solving tough tech problems
  • A team player and a problem solver with a positive mindset

Technologies we use

  • Python, JavaScript, Pandas
  • AWS S3, Glue, Athena, QuickSight, LakeFormation, Lambda, API Gateway, RDS, SageMaker
  • Apache Spark, Presto, Hudi
  • GIT, JIRA,

Added bonus if you have:


  • Experience in payments domain

What We offer You:


  • A competitive salary and Excellent benefits
  • A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
  • A modern, international work environment and a dedicated and motivated team
  • A broad range of professional education and personal development possibilities
  • FIS is your final career step
  • The chance to work on some of the most challenging, relevant issues in financial services & technologies

Privacy Statement


FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients.

For specific information on how FIS protects personal information online, please see the Online Privacy Notice.


Sourcing Model


Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies.

FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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