EPAM Systems

Lead Big Data Engineer

3+ months agoSofia, Bulgaria

EPAM is committed to providing our global team of more than 41,150 EPAMers with inspiring careers from day one. EPAMers think creatively and lead with passion and honesty. Our people are the source of our success. We value collaboration, work in partnership with our customers, and strive for the highest standards of excellence. In today's market conditions, we're supporting operations for hundreds of clients around the world remotely. No matter where you are located, you'll join a dedicated, 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 Lead BIG Data Engineer or any level above.
What You Have

  • Fascination to Big Data
  • Experience and excellent knowledge 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
  • Ready to take responsibility for the team outcome and the result of delivery
  • Willingness to mentor less-experienced colleagues
  • Desire to communicate with the customer intensely
  • 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
  • P.S. Want to prepare better and Grow yourself? Check our training and development resources and tailor your own PDP - free for any passionate IT professional at https://grow.telescopeai.com


Job ID: EPAM-57315