Senior Data Software Engineer

EPAM Systems; Maharashtra; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

EPAM Systems in India seeks a Senior Data Software Engineer to design and deploy data solutions across complex initiatives. You will work with big data tools, emphasizing Spark, Python, Azure and AWS to build scalable data systems.

You will collaborate with cross-functional teams to translate business needs into robust data pipelines, improve performance and security, and stay ahead of emerging technologies shaping data engineering.

Qualifications

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

Responsibilities

• Create complete data solutions addressing complex business challenges.
• Coordinate across teams to define project needs and deliver software outcomes.
• Apply Spark, Python, Azure, and AWS to build scalable data systems.
• Improve performance, security, and scalability of data-driven apps.
• Monitor industry trends to drive innovation and evolution of development methods.

Skills

Apache Spark

Python

Big Data

Tools

AWS

Azure

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