Sr Data Engineer Risk Services

Year    Gurgaon, Haryana, India

Job Description


Position Type : Full time

Type Of Hire : Experienced (relevant combo of work and education)

Education Desired : Bachelor of Computer Engineering

Travel Percentage : 0%



Are you curious, motivated, and forward-thinking? At FIS you\xe2\x80\x99ll 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 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.

What you will be doing

You will be hands-on designing and evolving our cloud data platform. You\xe2\x80\x99ll be solving new challenges on a daily basis as we build out new advanced data processing capabilities to serve analytics, data sharing, reporting and machine learning use cases.

  • Solving engineering problems across the big data ecosystem
  • Working with modern cloud data engineering tools (Airflow, Snowflake, Spark, Databricks, Kafka)
  • Driving the design and implementation of technical solutions with other developers and architects
  • Using \xe2\x80\x9cmonitoring driven development\xe2\x80\x9d to ensure operational quality from the outset
  • Designing for system observability with Prometheus, Telegraf, ELK stack, Splunk etc.
What you bring:
  • Deep technical understanding formed from a hands-on programming and/or computer science background
  • Programming mastery in at least one of Python, Scala
  • Familiarity with TDD, BDD, CI/CD and modern devops/automation tools
  • Experience of high-volume transactional systems
  • Passion for devops and maximising developer efficiency
  • Experience operating in one of the major public clouds (or relevant certifications)
Added bonus if you have:
  • Experience with either Spark or Kafka
  • Big Data - batch and stream processing applications
  • Snowflake, Redshift, BigQuery, adoop, Hbase, Hive, Parquet/ORC, Athena
  • Understanding of columnar stores, partitioning and clustering
  • Cloud experience or certifications, particularly AWS
  • Understanding of secure coding and secure infra
  • Hands-on capability with Terraform, Ansible, Sqitch
  • ML background (e.g. Jupyter, Pydata)
What we offer you
  • A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
  • A competitive salary and benefits
  • Varied and challenging work to help you grow your technical skillset
  • A fantastic range of benefits including private medical cover, dental cover and travel insurance
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 .

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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FIS

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Job Detail

  • Job Id
    JD3025355
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Gurgaon, Haryana, India
  • Education
    Not mentioned
  • Experience
    Year