Taro Logo

Data Engineer - 1407

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

Description For Data Engineer - 1407

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

You'll be working with a global team of 13,000+ employees across 40+ cities, contributing to systems that serve 50% of Fortune 500 companies and 30% of the world's central banks. The position offers exposure to high-stakes financial technology infrastructure, where your work will directly impact how banks, advisors, investors, and corporations make decisions.

The ideal candidate will combine technical expertise in Python, Linux, and data pipeline development with strong problem-solving abilities and excellent communication skills. You'll be responsible for implementing best practices in data management, ensuring scalability, performance, and security of data systems. This role offers the opportunity to work on challenging problems in a fast-paced environment while contributing to solutions that power global financial markets.

Working from the Mumbai office, you'll be part of ION Analytics, where you'll help clients navigate information overload and fragmented systems through expert journalism and analytics. The role offers significant growth potential within a rapidly expanding organization that's at the forefront of financial technology innovation.

Last updated 20 days ago

Responsibilities For Data Engineer - 1407

  • 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 data from +2000 sources across deep, dark and open web
  • 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 - 1407

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 to develop tooling
  • 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?

Jobs Related To ION Data Engineer - 1407

Data Scientist- Maps

Data Scientist position at Apple Maps focusing on metrics analysis, data quality, and product improvements, offering competitive compensation and comprehensive benefits.

Data Application Engineer

Data Application Engineer role at Apple Silicon focusing on data infrastructure, analysis, and visualization for semiconductor product development.

Business Intelligence Engineer, Supply Chain Innovation

Business Intelligence Engineer role at Amazon focusing on supply chain innovation, combining data analysis and visualization to improve operational efficiency and drive strategic decisions.

Business Intelligence Engineer, SCOT Long Term Forecasting

Business Intelligence Engineer role at Amazon's SCOT team, focusing on long-term forecasting and inventory optimization using data analysis and AWS technologies.

Business Intel Engineer II

Business Intelligence Engineer II position at Amazon Advertising focusing on statistical modeling, forecasting, and automated reporting for advertising optimization.