Senior Data Software Engineer

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

Job summary

EPAM Systems is seeking a skilled Senior Data Software Engineer to join their innovative team in India, tackling complex data projects. The ideal candidate will leverage expertise in Big Data technologies, including Apache Spark, Python, Azure, and AWS to develop and implement effective data solutions.

Key responsibilities include designing end-to-end data systems, collaborating with diverse teams, and driving improvements in data application performance. The position calls for 5-8 years of experience in relevant data technologies.

Qualifications

• 5-8 years of professional experience in data technologies.
• Advanced proficiency in Apache Spark.
• Background in Hadoop and Hive.
• Skills in Python programming.
• Experience with AWS and Azure Cloud data services.

Responsibilities

• Design end-to-end data solutions to address intricate business demands.
• Collaborate with diverse teams to analyze project requirements and deliver high-quality software solutions.
• Leverage expertise in Apache Spark, Python, Azure, and AWS to develop scalable and optimized data systems.
• Improve performance, security, and scalability of data applications.
• Monitor industry developments and promote innovation in development practices.

Skills

Apache Spark

Python

AWS

Azure

Data technologies

Tools

Hadoop

Hive

Job description

We are searching for a skilled Senior Data Software Engineer to be part of our innovative team, working on complex projects to advance your expertise and professional growth. As a Senior Engineer, your role will be vital in building and implementing data solutions across diverse initiatives. The right candidate should have substantial expertise in Big Data technologies, especially Apache Spark, Python, Azure, and AWS.

Responsibilities

• Design end-to-end data solutions to address intricate business demands
• Collaborate effectively with diverse teams to analyze project requirements and deliver high-quality software solutions
• Leverage expertise in Apache Spark, Python, Azure, and AWS to develop scalable and optimized data systems
• Improve the performance, security, and scalability of data applications
• Monitor industry developments and emerging technologies to promote innovation and growth in development practices

Requirements

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

Technologies

• Hadoop
• Hive