Position: Mid-Senior level

Job type: Full-time

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Job content

We are currently looking for Lead Big Data Engineers in India for our offices in multiple locations & Remote working.

We are looking for an experienced Big Data Engineers to work on critical application & product development. You’ll be a part of a modern, lean, self-governing engineering team.

Requirements
  • 9 to 14 Years of IT and Big Data technologies experience
  • Expert level understanding of distributed computing principles
  • Expert level knowledge and experience in Apache Spark
  • Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop
  • Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming
  • Experience with messaging systems, such as Kafka or RabbitMQ
  • Good understanding of Big Data querying tools, such as Hive, and Impala
  • Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files
  • Good understanding of SQL queries, joins, stored procedures, relational schemas
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
  • Knowledge of ETL techniques and frameworks
  • Performance tuning of Spark Jobs
  • Experience with native Cloud data services AWS or AZURE or GCP (Preferred)
  • Ability to lead a team efficiently
  • Experience with designing and implementing Big data solutions
  • Practitioner of AGILE methodology

Technologies
  • hadoop
  • HDFS
  • Map Reduce
  • NoSQL
  • AWS
  • Azure
  • GCP
  • Hive
  • Impala
  • Sqoop
  • Apache Spark
  • Mapreduce
  • HBase
  • Cassandra
  • MongoDB

We offer
  • Opportunity to work on technical challenges that may impact across geographies
  • Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
  • Opportunity to share your ideas on international platforms
  • Sponsored Tech Talks and Hackathons
  • Unlimited access to LinkedIn learning solutions
  • Possibility to relocate to any EPAM office for short and long-term projects
  • Focused individual development
  • Benefit package: Health benefits, Retirement benefits, Paid time off, Flexible benefits
  • Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
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