Senior Data Software Engineer

V2 Solutions; Hyderabad; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

V2 Solutions is seeking a Senior Data Software Engineer in Hyderabad to build and deploy robust data solutions across strategic initiatives. You will contribute technically and grow professionally while shaping scalable data systems.

The ideal candidate has deep hands-on experience with Apache Spark, Python, and cloud services (AWS and Azure), plus Hadoop and Hive. You will collaborate across teams to deliver high-quality data platforms that drive business outcomes.

Qualifications

• 5-8 years of experience with data technologies.
• Advanced Apache Spark expertise.
• Experience with Hadoop and Hive.
• Strong Python programming.
• Deep familiarity with AWS and Azure cloud data services.

Responsibilities

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

Skills

Python programming

Apache Spark

Cloud (AWS)

Cloud (Azure)

Hadoop/Hive

Tools

AWS

Azure

Apache Spark

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