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Posted 2w ago

Data Software Engineer

@ EPAM Systems
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Colombia
RemoteFull Time
Responsibilities:developing software, deploying solutions, conducting reviews
Requirements Summary:Bachelor's or Master's in CS or Software Engineering,2+ years in data software engineering with Big Data tools; strong Python/Java/Scala/Kotlin,Spark/PySpark,SQL/NoSQL,Databricks,AWS experience; CI/CD and containerization skills.
Technical Tools Mentioned:Spark, PySpark, Amazon Web Services (AWS), Glue, RedShift, Databricks, Python, Java, Scala, Kotlin, SQL, NoSQL, Docker, Kubernetes, Yarn, Hadoop, Hive, Flink, CI/CD
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Job Description

We are looking for a highly skilled and experienced Data Software Engineer to join our team to advance the development of data-centric applications.

This role involves working with cutting-edge Big Data tools, cloud technologies, and collaborating across teams to deliver innovative solutions for complex business challenges.

Responsibilities

  • Develop and refine data software applications used by Data Integration Engineers
  • Build and deploy sophisticated analytical solutions with Spark, PySpark, NoSQL, and other Big Data tools
  • Integrate AWS cloud services to improve and automate data workflows
  • Support product and engineering teams by collecting insights and enabling better decisions
  • Coordinate across architects, technical leads, and other teams to ensure cohesive implementations
  • Determine business needs and technical context to deliver appropriate technical solutions
  • Conduct code reviews to maintain coding standards and promote best practices
  • Validate and test deliverables against functional, technical, and performance requirements
  • Maintain thorough project documentation for future reference and iteration
  • Interact with clients to clarify needs and provide expert technical advice

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a similar field
  • 2+ years of experience in Data Software Engineering focused on Big Data technologies
  • Comprehensive understanding of data engineering areas such as data management, storage, visualization, operations, and security
  • Strong expertise in data ingestion pipelines, Data Warehousing, and Data Lakes
  • Proficiency across Python, Java, Scala, or Kotlin for building data-centric software
  • Extensive knowledge of SQL as well as NoSQL databases
  • Proven hands-on experience with Spark and PySpark
  • Ability to implement and deploy data solutions on AWS, including Glue and RedShift
  • Familiarity with CI/CD pipelines and integration/deployment workflows
  • Experience with containerization using Docker, Kubernetes, and Yarn
  • Practical knowledge of Databricks for advanced analytics and engineering workloads
  • English proficiency at B2 (Upper-Intermediate) level or above in speaking and writing

Nice to have

  • Familiarity with Hadoop, Hive, Flink, and other Big Data tools
  • Knowledge of SDLC methodologies, with Agile experience
  • Capability to implement and manage SDLC processes effectively

We offer/Benefits

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.