IBM Off Campus Drive 2023 For Data Engineer | Apply Now

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IBM Off Campus Drive 2023 for its Data Engineer, IBM Drive is organizing Off Campus Drive for canidates in Any Batch. In order to apply, candidates should have degree in Any Degree. if you are interested, Please apply as soon as possible.

Company Name: IBM

Role: Data Engineer

Location: Pune

Experience: Freshers

Qualification: Any Degree

Batch: Any Batch

Job Type: Full Time

Salary: Best in Industry

IBM Off Campus Drive 2023

Job Description:

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.

Preferred Technical and Professional Expertise:

  • Understanding of Devops.
  • Experience in building scalable end-to-end data ingestion and processing solutions
  • Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala

Requirements:

  • 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..
  • 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

Responsibility:

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.

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