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Senior Big Data Engineer Sofia, Bulgaria

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Senior Big Data Engineer Description

Job #: 57314
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.

You are curious, persistent, logical and with a growth mindset – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. You love building data systems and applications to support decision making. If this sounds like you, this could be the perfect opportunity to join EPAM as a Senior BIG Data Engineer or any level above.

What You Have

  • Fascination to Big Data
  • Strong experience in either of Java/Scala/Python, HDFS
  • Experience in any BigData related to ETL/ELT
  • Experience in SQL and noSQL DBs
  • Experience in CI/CD (Docker, Jenkins, Git)
  • Experience in various machine learning (ML) tools
  • Intention to acquire new skills continuously
  • Strong problem-solving characteristics as opposed to the narrow specialist
  • Interest in long-term collaboration (1+ years)
  • Solid understanding of the core AWS building blocks - workloads, stacks, instances, containers, VPCs and networking, internetworking and routing, core services like DNS etc, basic security
  • Clear, concise communication skills and good command of written and spoken English


  • Work on a truly BIG Data project – petabyte-scale projects, hundreds of millions of documents processed
  • Dive deep into AWS Big Data world - pave the way & position yourself as an expert in the exploding domain
  • Participate in the design – take part in an exploration effort, try a multitude of the AWS Big Data services, propose & defend architectural choices
  • Communicate with the customer - work directly with the Customer team, led with the experienced yet open-minded management
  • Join ONE team of friendly and fun professionals: no other team knows how to have a good time as we do. We all respect each other as equals and not only get along on a work level but personal as well

Nice to have

  • The following experience is considered as a big plus. However, if you do not have some of these - we are ready to train you:
  • ElasticSearch
  • Apache Spark
  • Hadoop MapReduce
  • Kafka, IBM MQ
  • AWS: EMR, StepFunctions, S3, Lambda

We offer

  • Personal development program that will allow you to be valued for your strengths
  • Wide range of professional trainings and workshops
  • Unlimited access to LinkedIn learning solutions
  • Attractive salary, additional health and dental insurance as well as other social benefits
  • Broad projects variety and possible mobility between projects over the time
  • Experience exchange with colleagues around the world
  • Work-life balance and flexible schedule, team buildings and sport opportunities
  • Modern office in the Infinity Tower business center
  • If you are interested in this role please send your CV in English. All applications will be treated as strictly confidential
  • Only short-listed applicants will be contacted

Great! What's Next?

  • 1. Send us your up-to-date CV or LinkedIn profile, representing your skills and past projects’ achievements
  • 2. We’ll get in touch with you and help you ensure you’ve identified the most suitable role we have for you based on your strengths and passion
  • 3. We’ll invite you for follow up technical conversations with your potential future colleagues and/or project, which can be done face to face in a calm meeting room at our office or via video conferencing call from your cozy place
  • 4. At the end we will align how we can best proceed further in a mutual agreement

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