IBM Off Campus Drive 2023 Data Engineer

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IBM Off Campus Drive 2023 Data Engineer:- IBM is organizing Off Campus Drive for candidates in Any batch. In order, candidates should have degree in Any Graduate Degree. If you are interested, apply as soon as possible.

IBM Off Campus Drive 2023:-Details

Company Name:	IBM
Job Role:	Data Engineer
Location:	Bangalore
Experience:	0-1 Years (Entry Level)
Education:	BE, B Tech in Computer Science

IBM Off Campus Drive Eligibility Criteria :

Job Description

Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements.
Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.
Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too.
Developed the Pysprk code for AWS Glue jobs and for EMR..
Worked on scalable distributed data system using Hadoop ecosystem in AWS EMR, MapR distribution..

Qualification

Developed Python and pyspark programs for data analysis.. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine).
Developed Hadoop streaming Jobs using python for integrating python API supported applications..
Developed Python code to gather the data from HBase and designs the solution to implement using Pyspark.
Apache Spark DataFrames/RDD’s were used to apply business transformations and utilized Hive Context objects to perform read/write operations..
Re – write some Hive queries to Spark SQL to reduce the overall batch time.

How To Apply for IBM Off Campus Drive 2023 ?

Note:-Please read the job instructions and requirements carefully before applying.

Apply Link: Click Here

About Company :

International Business Machines Corporation is an American global technology company with operations in over 171 countries with a headquarters in Armonk, New York. The most well-known products and services offered by IBM are cloud computing, data analytics, and computer hardware and software.