Intercontinental Exchange | Data Engineer | Bhagya Nagar | Bharat | BigDataKB.com | 14 Oct 2022

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Job Location: Bhagya Nagar

Job Purpose

At Intercontinental Exchange (ICE), we engineer technology, exchanges and clearing houses that connect companies around the world to global capital and derivative markets. With a leading-edge approach to developing technology platforms, we have built market infrastructure in all major trading centers, offering customers the ability to manage risk and make informed decisions globally. By leveraging our core strengths in technology, we continue to identify new ways to serve our customers and transform global markets. We’re looking for motivated, results-oriented people to join our team.

As a Data Engineer, you will be part of a technology team supporting the New York Stock Exchange with responsibility for regulatory data reporting which involves processing and analysis of huge sets of data.

Responsibilities

  • Develop various internal and external reports from Data Warehouse using ETL framework.
  • Learn and develop understanding of source data and transformed datasets.
  • Analyze large datasets: csv files and tables in database.
  • Analyze feedback received on submitted datasets.
  • Collaborate with multiple teams to assess remediations quickly to meet correction SLA.
  • Prepare and send data corrections for erroneous records regularly.
  • Troubleshoot production issues quickly and efficiently.
  • Support our team and business users with ad-hoc data analysis.
  • Communicate effectively on issues and analysis.
  • Documentation of processes and solutions developed by self.
  • Collaborate with business, data architects and various technology teams on data projects.

Knowledge and Experience

  • Bachelors degree in computer science, engineering, or related field
  • 5+ years of work experience as ETL Developer/Data Engineer
  • Proficiency in SQL is a MUST
  • Proficiency in Unix/Linux is a MUST
  • Proficiency in scripting language like shell, python or similar language is highly desired
  • Proficiency in enterprise job scheduler like Tidal or similar tool is highly desired
  • Understanding of Data Warehousing & ETL/ELT: data gathering, cleaning, and transforming
  • Experience and understanding of database architecture, and transformation tools
  • Prior experience in US Equities exchange data handling, OATS reporting, regulatory reporting is a HUGE plus
  • Strong data analytical and problem-solving skills
  • Self-starter with proven ability and initiative to learn and research new concepts, ideas, and technologies quickly

Schedule

T his role offers work from home flexibility of up to 2 days per week .




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