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Senior Data Software Engineer

Poland
Data Software Engineering, Python, Apache Spark, Amazon Web Services, Scala, Apache Hadoop, Databricks
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Sorry, this position is no longer available

We are seeking a highly motivated Senior Data Software Engineer to join our remote team, working with the world's leading source of news and information for professional markets. As a Senior Data Software Engineer, you will be responsible for developing and building Spark applications, working with large datasets and Cloud technologies. If you have a solid understanding of the core AWS building blocks, including workloads, stacks, instances, containers, and basic security knowledge - we invite you to apply!

Responsibilities
  • Develop and build Spark applications, working with large datasets
  • Perform data parsing and manipulation using Scala and Python
  • Collaborate with cross-functional teams to understand product requirements and user needs
  • Participate in design reviews, offering input on requirements, product design, and potential challenges
  • Contribute to the preparation of automated test cases using tools like CodeBuild/CodeDeploy or other preferred automation frameworks
  • Prepare detailed reports covering all aspects of software development, including identified issues and development outcomes
Requirements
  • A minimum of 3 years of experience in Data Software Engineering, demonstrating your proficiency in developing and building Spark applications
  • Solid understanding of the core AWS building blocks, including workloads, stacks, instances, containers, VPCs, networking, internetworking, routing, core services like DNS
  • Proficiency in Scala and Python, enabling you to work with the Scala ecosystem and perform ETL/ELT jobs
  • Experience working with Apache Hadoop and Databricks
  • Strong focus on teamwork and exceptional interpersonal skills, allowing you to collaborate effectively with cross-functional teams
  • Fluent spoken and written English at an Upper-Intermediate level or higher
Nice to have
  • Work experience with the following technologies: S3, Oracle, Elastic Search, Step Functions, Dynamo, CloudTrail/CloudWatch, DataDog, SNS/SQS, or Athena
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

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