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2961 IBM Jobs

Data Engineer: Data Platforms-AWS

2-6 years

₹ 4.5 - 28L/yr (AmbitionBox estimate)

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Bangalore / Bengaluru

Data Engineer: Data Platforms-AWS

IBM

posted 1mon ago

Job Role Insights

Flexible timing

Job Description



Your Role and Responsibilities
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.

Your primary responsibilities include:

  • 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.


Required Technical and Professional Expertise
  • 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


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


Employment Type: Full Time, Permanent

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Top IBM Data Engineer Interview Questions

Q1. 1) How to handle data skewness in spark.
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Q2. 5) How to create a kafka topic with replication factor 2
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Q3. 4) How to read json data using spark
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What people at IBM are saying

4.2
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Data Engineer salary at IBM

reported by 2.7k employees with 1-11 years exp.
₹5 L/yr - ₹23.6 L/yr
38% more than the average Data Engineer Salary in India
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What IBM employees are saying about work life

based on 21.2k employees
78%
84%
66%
79%
Flexible timing
Monday to Friday
No travel
Day Shift
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IBM Benefits

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Soft Skill Training
Health Insurance
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Free Transport +6 more
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