Senior Big Data Developer

| Remote
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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.
Description
EPAM's Financial Services Practice is looking for exceptionally talented people to join our team of world class engineers. Our clients are some of the world's largest and most innovative banks, investment banks and wealth management institutions.
We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.
Remotely anywhere in the US. Business trips might be required in the future. Ability to cover a few hours in PST.
Req. #251972641
WHAT YOU'LL DO

  • Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
  • Implementing ETL process
  • Monitoring performance and advising any necessary infrastructure changes
  • Defining data retention policies
  • Elaborating on technical design of new features
  • Investigating production issues


REQUIREMENTS

  • BS degree in an associated field or other advanced certification along with equivalent experience
  • Proficient understanding of distributed computing principles
  • Proficiency with Java, Hadoop v2, MapReduce, HDFS
  • Experience with building stream-processing systems, using solutions such as Spark-Streaming
  • Good knowledge of Big Data querying tools, such as Hive and Impala
  • Experience with Spark RDD/DataFrame API using Scala
  • Experience with integration of data from multiple data sources
  • Knowledge of various ETL techniques and frameworks
  • Experience with various messaging systems, such as Kafka
  • Experience with Cloudera platform is a plus


WHAT WE 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


ADDITIONAL

  • This position operates in a remote capacity, but you must live within driving distance to an EPAM office. Your recruiter will discuss specific details about work location during the initial interview process
  • Depending on the position, EPAM employees may need to work at a client worksite or an EPAM office. To protect employees and help communities fight the COVID-19 pandemic, vaccination is required to visit a EPAM office in the US, and many of our clients have similar policies in place. Due to this, a COVID-19 vaccination may be necessary and when applicable, specific details will be discussed during the interview process which may include providing proof of vaccination. For candidates with exceptional circumstances that prevent them from getting the COVID-19 vaccine, we will offer alternative reasonable accommodation, where possible, which should be coordinated by your recruiter and discussed directly with an HR Representative
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Location

Located just West of Madison Square Park, EPAM is surrounded by great lunch spots and easily accessible by New York and NJ public transportation.

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