Data Engineer

A financial technology company providing trading and workflow automation software, analytics, and strategic consulting to corporations, central banks, financial institutions, and governments.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
Finance · Enterprise SaaS

Description For Data Engineer

ION is a leading financial technology company that serves over 40% of the world's largest companies. As a Data Engineer at ION, you'll be instrumental in managing dataflows alongside cybersecurity analysts, focusing on upstream data acquisition. The role involves handling diverse data formats and developing automation tools for analyzing and ingesting large volumes of sensitive information.

You'll work with data from over 2,000 sources across deep, dark, and open web, implementing best practices in data management, coding, testing, and deployment. The position requires strong problem-solving abilities and excellent communication skills in a fast-paced environment.

ION has a global presence with 13,000 employees across 40+ cities, serving 40,000+ customers worldwide. The company provides solutions for cash management, in-house banking, commodity supply chain, trading, and risk management. Their client base includes 50% of Fortune 500 companies and 30% of the world's central banks.

Within ION Analytics, you'll help clients navigate information overload and fragmented systems. Their business information solutions combine expert journalism and analytics with data, helping various financial institutions and corporations find opportunities in different markets.

This role offers an excellent opportunity to work with cutting-edge technology in a rapidly expanding global organization, making a significant impact in the financial technology sector.

Last updated 17 minutes ago

Responsibilities For Data Engineer

  • Analyze, parse and clean large datasets of structured and unstructured data
  • Collaborate with security analysts and lead developers to understand bottlenecks and to prioritize, correct and ingest cleaned data
  • Develop data ingestion frameworks to handle high-volume and high-variety data
  • Implement data quality control measures
  • Optimize data pipeline performance for scalability, reliability, and latency
  • Troubleshoot data pipeline issues and data quality problems

Requirements For Data Engineer

Python
Linux
  • Strong command of Linux CLI tooling and AWS CLI
  • Deep understanding of common data formats such csv, json, sql, excel files
  • Deep understanding of file encoding and related issues
  • Strong Python scripting skills
  • Strong problem-solving skills
  • Excellent communication and collaboration skills
  • Degree in Computer Science or relevant subject
  • Excellent spoken and written English
  • Creative approach to problem solving

Interested in this job?

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