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Wednesday, 31 July 2019


Job Description:
Your Role and Responsibilities :

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the design of data solutions using Hadoop based technologies like MapReduce, Hive, MongoDB or Cassandra
You are responsible for Hadoop development and implementation including loading from disparate data sets, preprocessing using Hive and Pig.
Scope and deliver solutions with the ability to design solutions independently based on high-level architecture.
Maintain the production systems like Kafka, Hadoop, Cassandra, Elasticsearch
Minimum 4+ years of experience in IT Industry
Technology expertise of solutioning in Hadoop, Hive, Spark / PySpark, SQL, Oozie along Data Modelling in Hive
Expertise in programming Languages- Java / Python / Scala
Ability to demonstrate micro / macro designing and familiar with Unix Commands and basic work experience in Unix Shell Scripting
Working knowledge in one NoSQL database like MongoDB/Cassandra/HBase/Couchbase
Knowledge of various Big data architectures like Lambda / kappa with usage of automation / scheduling tool like Oozie or Cronacle or any other technology
Demonstrated ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers

Salary: Not Disclosed by Recruiter

Role Category:Admin/Maintenance/Security/Datawarehousing


Employment Type: Full Time, Permanent

Keyskills:Hadoop Hive Oozie Mapreduce Cloudera Spark Pig HBase NoSQL Java

Company Profile:

IBM has been present in India since 1992. IBM India's solutions and services span all major industries including financial services, healthcare, government, automotive, telecommunications and education, among others. As a trusted partner with wide-ranging service capabilities, IBM helps clients transform and succeed in challenging circumstances.


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