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Keywords / Skills : Hadoop Developer

5 - 8 years
Posted: 2019-07-21

Industry
ITES/BPO
Function
IT
Posted On
21st Jul 2019
Job Ref code
125394
Job Description
Job Description :

Key words for Primary – HIVE SQL , SPARK and Sqoop, Rest optional.
· Experience working with Big Data eco-system including tools such as Hadoop, Map Reduce, Yarn, Hive, Pig, Impala, Spark , Kafka, Hive, Impala and Storm to name a few (particularly HIVE, Pig and Spark).
· Strong SQL skills (Strong data analysis and SQL skills in Relational/Columnar/Big data environments (Joins, Union, rank, group by, order etc.)) ; preferably HIVE SQL experience
· Experience with NoSQL Databases – HBase, Apache Cassandra, Vertica, or MongoDB
· Should have good Data Warehousing background, experience in design, build and support of Data Warehouses/Marts. Experience with Data primarily on the back of data integration, data quality, Migration, report testing using SQL. Should have Data Warehousing concepts clear
· Must be from DEVELOPMENT background only.
· Ability to build and test rapidly Map Reduce code in a rapid, iterative manner
· Ability to articulate reasons behind the design choices being made
· Demonstrate excellent written and verbal communication skills
· Able to work independently in a fast-paced environment
· Experience with Agile implementation methodology and working in a globally distributed team structure
· Experience in Hadoop distributions (Apache / Cloudera / Hortonworks) - Basic understanding of Hortonworks distribution would be an added advantage
· Ability to deploy and maintain multi-node Hadoop cluster
· Knowledgeable in techniques for designing Hadoop-based file layout optimized to meet business needs
· Understands the tradeoffs between different approaches to Hadoop file design
· Experience with techniques of performance optimization for both data loading and data retrieval
· Experience in UNIX Shell scripting and Python is an added advantage
· Able to translate business requirements into logical and physical file structure design
· Basic understanding of scheduling process
· Certification (Agile and / or Hadoop) –
Key Skill(s)

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