Senior Data Software Engineer

EPAM Systems; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EPAM Systems is seeking a Senior Data Software Engineer to join our expert data team. You will design and implement data solutions using Spark, Python, Azure and AWS to drive scalable analytics and insights.

You will collaborate with cross-functional teams to deliver data pipelines, optimize performance, and stay ahead of industry trends in cloud-based data processing. Ideal candidates bring 5-8 years of hands-on data technologies experience and a proven track record delivering enterprise-grade

Qualifications

• 5-8 years of experience in data technologies.
• Strong knowledge of Apache Spark with advanced capabilities.
• Background in Hadoop and Hive.
• Proficient in Python programming.
• Experience with AWS and Azure cloud data services.

Responsibilities

• Design comprehensive data solutions to meet complex business objectives.
• Collaborate with cross-functional teams to evaluate project requirements and deliver effective software solutions.
• Apply knowledge of Apache Spark, Python, Azure, and AWS to create scalable and efficient data systems.
• Enhance the performance, security, and scalability of data applications.
• Stay informed about industry trends and emerging technologies to drive innovation in development practices.

Skills

Python

Big Data

Spark

Cloud Computing

Tools

Apache Spark

Hadoop

Hive

Azure

AWS

Python

Job description

We are looking for a skilled Senior Data Software Engineer to join our innovative team, working on complex projects to enhance your expertise and drive professional growth.

As a Senior Engineer, your role is critical in delivering data solutions across various initiatives. The ideal candidate should possess substantial knowledge of Big Data technologies, primarily Apache Spark, Python, Azure, and AWS.

Responsibilities

• Design comprehensive data solutions to meet complex business objectives
• Collaborate with cross-functional teams to evaluate project requirements and deliver effective software solutions
• Apply knowledge of Apache Spark, Python, Azure, and AWS to create scalable and efficient data systems
• Enhance the performance, security, and scalability of data applications
• Stay informed about industry trends and emerging technologies to drive innovation in development practices

Requirements

• 5-8 years of experience in data technologies
• Knowledge of Apache Spark with advanced capabilities
• Background in Hadoop and Hive
• Skills in Python programming
• Expertise in AWS and Azure cloud-based data services

Technologies

• Hadoop
• Hive