Senior Data Software Engineer

Role Summary

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for a Senior Data Software Engineer. If you are looking to give your career a real boost with a global leader in digital transformation, EPAM is the perfect choice. If you'd like to learn more about this position and project, apply now.

Responsibilities - Design, construct, install, test and maintain highly scalable and optimized data pipelines with state-of-the-art monitoring and logging practices

• Bring together large, complex, and sparse data sets to meet functional and non-functional business requirements. Utilize a variety of languages, tools, and frameworks to integrate data
• Design and implement data tools for analytics and data scientist team members to help them build, optimize, and tune use cases
• Tackle challenging and varied problems related to gaining further maturity in Data Platform tools, processes, and engineering capabilities
• Focus on engineering excellence to deliver high-quality solutions that provide leverage for the company's objectives

Requirements - 3+ years of hands-on experience in data processing focused projects

• Proficiency with Java, Python, or Scala, and SQL
• Knowledge of Apache Spark
• Experience with one of the major cloud providers AWS, Azure or GCP
• Hands-on experience with selected data processing technologies, such as Hadoop, MongoDB, Cassandra, Kafka, and Elasticsearch, as well as Python libraries (Pandas, NumPy, etc.) and data processing tools from cloud providers (EMR, Glue, Data Factory, BigTable, etc.)
• Relevant experience with version control systems and code review processes
• Knowledge of Agile methodologies
• Basic knowledge of Linux and Bash scripting

Nice to have - Hands-on experience with Databricks and Delta-Lake

• Ability to build Apache Airflow pipelines
• Experience with the Snowflake platform

We offer - Career development opportunities with a transparent career path

• Wide range of professional trainings, workshops, and mentoring programs plus unlimited access to LinkedIn Learning
• Learning resources and financial support for completing certification programs
• Christmas and Vacation bonus
• Corporate Health Insurance (basic and supplementary)
• Free yearly medical check-ups
• 25 days of vacation