Company Name:-
IBM

Job Location:-
Chennai, Tamil Nadu

Job Summary:-
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
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 along with Python, Spark and Scala programming.

Responsibilities:
Responsible to Ingest data from files, streams and databases.

Process the data with Python, Pyspark and Scala
Develop programs in Spark, Scala and Hive as part of data cleaning and processing
Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems
Develop efficient software code for multiple use cases leveraging Spark and Big Data technologies for various use cases built on the platform
Provide high operational excellence guaranteeing high availability and platform stability
Implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Spark, Scala, Hive any Cloud computing etc.

If you thrive in a dynamic, collaborative workplace, IBM provides an environment where you will be challenged and inspired every single day.

And if you relish the freedom to bring creative, thoughtful solutions to the table, there’s no limit to what you can accomplish here.

Required Technical and Professional Expertise
Minimum 4+ years of experience in Big Data technologies
Minimum 4+ years of experience in Python, Spark / Pyspark, Scala and Hive programming
Experience in developing applications on Big Data and Cognitive technologies including API development
Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries
Ability to demonstrate micro / macro designing and familiar with Unix Commands and basic work experience in Unix Shell Scripting
Demonstrated ability in solutioning

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