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Data Engineer - 988

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
This job posting is no longer active.

Job Description

ION Group, a leading financial technology company with over 13,000 employees worldwide, is seeking a Data Engineer to join their team in Mumbai. This role offers an exciting opportunity to work with a company that serves 50% of Fortune 500 companies and 30% of the world's central banks.

The position involves architecting and developing an Internal Data Lake while working closely with key stakeholders. You'll be responsible for creating data pipelines, implementing ETL processes, and ensuring data governance across various domains including commercial, accounting, markets, and content.

As a Data Engineer, you'll work with cutting-edge technologies like Azure Databricks, Python, and SQL, while contributing to the company's digital transformation. The role requires a blend of technical expertise in data engineering and business domain knowledge, making it perfect for someone who wants to impact how financial data is managed and utilized at a global scale.

ION Group offers a supportive and inclusive environment, with offices in more than 40 cities globally. The company's impressive client base of over 40,000 customers worldwide provides unparalleled exposure to financial markets infrastructure. They're committed to maintaining a diverse workplace that respects varied identities, abilities, cultures, and traditions.

This role is ideal for a mid-level engineer with 3+ years of experience who is passionate about data engineering, has strong problem-solving skills, and wants to work in a fast-paced, global financial technology environment. You'll be part of a team that's driving innovation in financial technology while working with some of the world's leading financial institutions.

Last updated 4 months ago

Responsibilities For Data Engineer - 988

  • Develop and maintain Azure Databricks hosted data lake by creating pipelines to internal and external data sources
  • Convert unprocessed data into mastered tables through ETL
  • Promote best practices and set up standardized processes
  • Work on data lake architecture with the engineering team
  • Drive data governance with high quality standards
  • Coordinate with data and analytics team for data science and reporting requirements
  • Contribute to driving strong data culture for digital transformation

Requirements For Data Engineer - 988

Python
  • 3+ years of experience
  • Working knowledge of Machine Learning (ML) or Artificial Intelligence (AI)
  • Proficiency in Python and SQL, Pyspark is a plus
  • Experience with Azure
  • Experience with Databricks
  • Experience with version control in Azure DevOps or GitHub
  • Experience of agile software development methodologies
  • Strong analytical and problem-solving skills
  • Strong written and verbal communication skills
  • Proactive team player with attention to detail
  • Ability to work to deadlines and manage expectations
  • Quick learner with ability to adapt to change