Job Description

Senior Data Engineer (Big Data)
4-8 yrs. Gurgaon...
Job Description
4 - 6 years of hands-on work experience 
Experience on either Hadoop stack (such as PIG, Oozie, SPARK, Sqoop, Flume, Hive) and/or NoSQL databases (such as MongoDB, Cassandra, HBase, Neo4j)
Create end-to-end solution design and development approach in Hadoop/NoSQL environment for Analytics platforms.
Thorough understanding of relational and dimensional databases (schemas, uses, advantages and limitations)
Thorough experience in SQL and procedural SQL and Unix/Linux scripting
Experience in with ETL, Data warehouse, BI platforms(s), RDBMS
Excellent analytical and problem solving skills
Worked on any of the ETL tools like SSIS, Informatica, and ODI etc.
Good to have :
Experience with admin tasks for Hadoop cluster management
Worked on cloud environment (AWS, Azure etc.)
Python
Capture requirements and implement them by understanding of emerging and evolving models and technology requirements.
Understand the business problems and convert them into technical requirement.
Be able to lead small technical teams as necessary, mentor them and bring them up to speed on new technologies
Very good communication skills.
Industry : IT-Software / Software Services
Functional Area : Analytics & Business Intelligence
Role : Analytics Manager
Keyskills : Hadoop, Hive, Flume, Oozie, Sqoop, Spark, Pig, HBase, NoSQL, Cassandra, phython, java
Send your CV to : Click to see email-id