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Lead Big Data Engineer 250 views

Named as one of Fortunes’ 100 Fastest Growing Companies for 2019, EPAM is committed to providing their global team of 30,100+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty and think creatively. Their people are the source of their success and they value collaboration, try to always understand their customers’ business, and strive for the highest standards of excellence. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

Description

You are curious, persistent, logical and clever – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Lead Big Data Engineer.

 

What You’ll Do

  • Lead, design and implement innovative analytical solution using Hadoop, NoSQL, and other Big Data related technologies
  • Work with product and engineering teams to understand requirements, evaluate new features and architecture to help drive decisions
  • Build collaborative partnerships with architects, technical leads and key individuals within other functional groups
  • Perform detailed analysis of business problems and technical environments and use this in designing a quality technical solution
  • Actively participate in code review and test solutions to ensure it meets best practice specifications
  • Build and foster a high-performance engineering culture, mentor team members and provide the team with the tools and motivation to make things happen
  • Work with stakeholders and cross-functional teams to develop new solutions or enhance an existing solution

What You Have

  • 5+ years of software development and deployment experience with at least 2 years of hands-on experience with Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)
  • Strong experience building data ingestion pipelines (simulating Extract, Transform, Load workload), data warehouse or database architecture
  • Solid, in-depth understanding of Hadoop, Spark, and Hive
  • Strong experience with data modeling
  • Hands-on development experience using open source big data components such as Hadoop, Hive, Pig, Spark, HBase, Hawk, Oozie, Mahout, Flume, Kafka, ZooKeeper, Sqoop, etc. preferably with Hortonworks distro
  • Microsoft Azure: Experience designing, deploying and administering scalable, available, and fault-tolerant systems on Microsoft Azure using HDInsights or Analytics Platform System (APS)
  • Experience with Azure Management Portal, Azure Machine Learning, and Azure SQL Server
  • Solid understanding of DevOps principles and practices
  • Experience with Scala/Java/Python (any combination)
  • Analytical approach to problem-solving with an ability to work at an abstract level and gain consensus; excellent interpersonal, leadership and communication skills
  • Data-oriented personality. Motivated, independent, efficient and able to handle several projects; work under pressure with a solid sense for setting priorities
  • Ability to work in a fast-paced (startup-like) agile development environment
  • Friendly, articulate, and interested in working in a fun, small team environment
  • Experience working in the retail industry with a large-scale enterprise organization, e-commerce, marketing, and CRM applications will be a plus
  • BS or MS in Computer Science or equivalent; MS preferred

What They Offer

  • Medical, Dental and Vision Insurance (Subsidized)
  • Health Savings Account
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Short-Term and Long-Term Disability (Company Provided)
  • Life and AD&D Insurance (Company Provided)
  • Employee Assistance Program
  • Unlimited access to LinkedIn learning solutions
  • Matched 401(k) Retirement Savings Plan
  • Paid Time Off
  • Legal Plan and Identity Theft Protection
  • Accident Insurance
  • Employee Discounts
  • Pet Insurance
  • EPAM welcomes all applicants and will consider qualified candidates with criminal history such as arrest and conviction records in a manner consistent applicable law, including the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring

EPAM Systems is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, status as a qualified individual with a disability, or any other protected characteristic under law.

Background investigations are required for all new hires as a condition of employment after the job offer is made. Employment will not begin until EPAM Systems receives and approves the results of the background check.

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