Data Platform Engineer

Job Title

Lead I – Software Engineering (Data Platform Engineer)27609

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Role Overview

Data Platform Engineer

resilient, scalable, and high-performance data platforms

modern data engineering technologies

backend application development

cloud infrastructure

Key Responsibilities

• Design and implement highly scalable and resilient data platforms.
• Build and manage large-scale data pipelines using Databricks, Snowflake, and Kafka.
• Develop and deploy backend applications on AWS or Azure cloud platforms.
• Optimize and maintain applications for data-intensive or computation-heavy workloads (e.g., grid-based systems).
• Participate in code reviews, pull requests, and Agile development cycles, with full lifecycle ownership.
  

Mandatory Skills

• 4–10 years of experience in data engineering, data architecture, and data modeling.
• Hands-on experience with Databricks, Snowflake, and Kafka.
• Strong programming skills in Java, Scala, or Python (with willingness to learn others).
• Solid understanding of Object-Oriented Programming (OOP) and interest in Functional Programming.
• Experience working on distributed systems and data warehousing.
• Familiarity with development tools like Git, Bitbucket, Jenkins, JIRA, and Agile/Scrum methodologies.
• Bachelor’s or Master’s degree in IT, Computer Science, Engineering, or a related field.
  

Preferred / Nice To Have

• Prior experience in financial services or understanding of financial products.
• Experience working on grid-based computation systems or real-time data streaming platforms.
• Strong analytical and problem-solving abilities.
  

Core Technologies

Databricks

Snowflake

Kafka

Java/Scala/Python

AWS/Azure

Git

Jenkins

JIRA