Senior/Lead Data Software Engineer at EPAM Systems Inc
távmunka, , Hungary -
Full Time


Start Date

Immediate

Expiry Date

22 Apr, 25

Salary

0.0

Posted On

23 Jan, 25

Experience

3 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Python, Apache Spark, Version Control, Data Processing, Azure, Linux, Code Review, Sql, Aws, Bash, Java, Agile Methodologies, Scala

Industry

Information Technology/IT

Description

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/Lead Data Software Engineer to join our team in Hungary.Learn more about our Data Practice here.

REQUIREMENTS

  • 3+ years of hands-on experience in data processing focused projects
  • Proficiency with Java or 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 a few selected data processing technologies, e.g., Hadoop, MongoDB, Cassandra, Kafka, Elasticsearch, Python libraries (Pandas/NumPy/…) data processing tools of cloud providers (EMR/Glue/Data Factory/Big Table/…)
  • Relevant experience with version control and code review
  • Knowledge of Agile methodologies
  • Linux and Bash scripting basics
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 and use a variety of languages, tools and frameworks to marry data
  • Design and implement data tools for analytics and data scientist team members to help them in building, optimizing, and tuning of 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
Loading...