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Big Data Engineer / Hadoop / Data Engineer

Keywords / Skills : Bigdata, Hadoop, HDFS, Hive, Map Reduce, SCALA, Spark, Impala, Big Data Engineer, Data Engineer

3 - 12 years
Posted: 2019-06-12

Job Description

Big Data:

• 8+ Years of IT experience & 4+ Years in Big Data technologies
• Expert level understanding of distributed computing principles
• Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop
• 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
• 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.
• Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming (Preferred)

Please send your resume to [HIDDEN TEXT] before calling me on 8099210979.

About Company

EPAM Systems India Private Limited

About us:
EPAM Systems, Inc. (NYSE:EPAM), a leading global product development and platform engineering services company, is focused on delivering results through best in-class software engineering, combined with innovative strategy, consulting and design capabilities. With 23 years of experience in the information technology industry, EPAM’s 18,000 people serve our customers in over 25 countries across North America, Europe, Asia and Australia. EPAM was ranked #8 in FORBES 25 Fastest Growing Public Tech Companies and was ranked as a top information technology services company on FORTUNE’S 100 Fastest Growing Technology Companies. EPAM holds the certifications like ISAE 3402, SAS 70 TYPE II, ISO/IEC 27001:2013, CMMI 5, SEC GOVERNED.
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