Data Engineer-Big Data

Job description

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role and Responsibilities
Develops applications on Big Data and Cognitive technologies including API development. Expected to have traditional Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries. Strong technical abilities to understand, design, write and debug complex code. Skills include Python, Spark, Kafka, IBM BigInsights, Hadoop, NoSQL, HBase, HIVE, PIG, C++, SQL, Linux, Java, EAI, SOA, CEP, HDFS, ETL

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Required Technical and Professional Expertise

·  Development experience in Big Data software development technologies such as Python, Hadoop, Hive or Spark.
·  Proficient background in Unix or Linux programming language.
·  Good understanding in SQL and RDBMS. Good at modeling data for relational, analytical and big data workload.
·  Provide support for deployed data applications and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers

Preferred Technical and Professional Expertise

·  Must Have skill in Big Data tools such as Python, Hadoop, Hive or Spark
·  Proven background in SQL, Unix/Linux and ETL process