Data Software Engineer - Senior / Lead

Epam Systems; Coimbatore District; Hybrid; INR 1,000,000 - 2,000,000; Full time

Job summary

Epam Systems is seeking a Senior/Lead Data Software Engineer to join our forward-thinking team, contributing to sophisticated projects that will grow you technically and professionally.

In this Senior Engineer capacity, you'll construct and roll out data solutions across initiatives, leveraging Apache Spark, Python, Azure and AWS to design scalable and secure data systems. You will contribute to performance, security, and innovation across data-driven applications.

Qualifications

• 5–8 years of professional experience with data technologies
• Strong expertise in Apache Spark
• Hands-on experience with Hadoop and Hive
• Proficient Python programming
• Experience with AWS and Azure cloud data services

Responsibilities

• Craft complete data solutions capable of addressing sophisticated business challenges
• Coordinate effectively across varied teams to break down project needs and deliver top-tier software outcomes
• Apply hands-on expertise in Apache Spark, Python, Azure, and AWS to engineer data systems that are both scalable and efficient
• Strengthen the performance, security posture, and scalability of data-driven applications
• Track shifts in the industry and rising technologies to fuel innovation and evolve development methods

Skills

Data engineering

Tools

Spark

Python

Azure

AWS

Hadoop

Hive

Job description

We're on the lookout for a talented Senior/Lead Data Software Engineer to join our forward-thinking team, contributing to sophisticated projects that will help you grow both technically and professionally.

In this Senior Engineer capacity, you'll play an essential part in constructing and rolling out data solutions across a variety of initiatives. We're seeking someone with significant depth in Big Data tools, with particular emphasis on Apache Spark, Python, Azure, and AWS.

Responsibilities

• Craft complete data solutions capable of addressing sophisticated business challenges
• Coordinate effectively across varied teams to break down project needs and deliver top-tier software outcomes
• Apply hands-on expertise in Apache Spark, Python, Azure, and AWS to engineer data systems that are both scalable and efficient
• Strengthen the performance, security posture, and scalability of data-driven applications
• Track shifts in the industry and rising technologies to fuel innovation and evolve development methods

Requirements

• Between 5 and 8 years of professional background working with data technologies
• Advanced-level familiarity with Apache Spark
• Practical experience working with Hadoop and Hive
• Strong capability in Python programming
• Deep familiarity with AWS and Azure cloud-based data services

Technologies

• Hadoop
• Hive