Senior Data Software Engineer

EPAM Systems; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

EPAM Systems is seeking a Senior Data Software Engineer to help design and deploy data solutions across multiple initiatives, enabling growth both technically and professionally. The role emphasizes hands-on work with Apache Spark, Python, Azure, and AWS, shaping scalable data platforms while ensuring security and performance across complex workloads.

You'll collaborate with cross-functional teams to translate business needs into robust software solutions, mentor junior engineers, and stay

Qualifications

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

Apache Spark

Python

AWS

Azure

Tools

Hadoop

Hive

Job description

We're on the lookout for a talented Senior 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