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Data & Analytics - Senior Software Engineer (Big Data and Azure) India

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Data & Analytics - Senior Software Engineer (Big Data and Azure) Description

Job #: 83590
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.

EPAM’s global multi-disciplinary teams serve 61,600 employees and customers in more than 45 countries across five continents.

As a recognized leader, EPAM is listed among the top 15 companies in Information Technology Services on the Fortune 1000 and ranked as the top IT services company on Fortune’s 100 Fastest-Growing Companies list for the last three consecutive years.

EPAM is also listed among Ad Age’s top 25 World’s Largest Agency Companies and in 2020, Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing.

Requirements

  • 4 to 8 Years of in Big Data & Data related technology experience
  • Expert level understanding of distributed computing principles
  • Expert level knowledge and experience in Apache Spark
  • Hands on experience in Azure – Databricks, Data Factory, Data Lake store / Blob storage, SQL DB
  • Experience in creating Big data Pipelines with Azure components
  • Hands on programing with Python
  • 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 designing and implementing Big data solutions
  • Practitioner of AGILE methodology

Technologies

  • Big Data
  • Azure
  • Spark
  • Python
  • Azure Databricks
  • Azure Data factory

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 & 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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