Greetings!!!
This is Deepak from EPAM Systems.
About EPAM Systems (www.epam.com)
Established in 1993, EPAM Systems, Inc. (NYSE: EPAM) is recognized as a leader in software product development by independent research agencies. Headquartered in the United States, EPAM serves clients worldwide utilizing its award-winning global delivery platform and its locations in over 25 countries across North America, Europe, Asia and Australia. EPAM was ranked #6 in America's 25 Fastest-Growing Tech Companies and #3 in America's Best Small Companies lists by Forbes Magazine.
- *EPAM Ranked #8 on Forbes' List of 25 Fastest Growing Public Tech Companies.
- *EPAM Recognized Again in Top 50 of CRN's 2016 Solution Provider 500 List of Largest North.American Technology Integrators *EPAM Ranked Number Six in the Top 100 Digital Agencies in the UK.
- *EPAM Ranked #26 on CDN List of Top 100 IT Solution Providers.
- *EPAM and DataStax Announce Partnership to Develop Highly-Scalable Big Data Cloud Technology Solutions.
- *EPAM Enhances Global Delivery Capabilities and Extends Footprint in China with Acquisition of Dextrys.
- *EPAM and ADAM Announce Next Generation e-Commerce Solution.
- *EPAM Expands Presence in Central Europe With New Office in Krakow, Poland.
- *EPAM Launches German Website to Support Central European Market Expansion.
- For more information, please visit http://www.epam.com.
We have an urgent opening for BIG DATA professionals for Pune, Hyderabad location. You will be a Permanent employee of Epam Systems INC.
Job Description:
HADOOP, BIGDATA
SPARK
PYTHON, JAVA or SCALA
Good to have:
Hive, HDFS, MAP, SQOOP
Cassandra/ Kafka
Skills Required:
7+ Years of IT experience & 2+ Years in Big Data technologies
Expert level understanding of distributed computing principles
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 knowledge of Big Data querying tools, such as Pig, Hive, and Impala
Experience with Apache Spark
Experience with integration of data from multiple data sources such as MS SQL Server, Oracle
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, such as Flume
Management of Hadoop cluster (Cloudera preferred), with all included services
Ability to solve any ongoing issues with operating the cluster
Ability to lead a team efficiently
Experience with designing and implementing Big data solutions
Practitioner of AGILE methodology
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