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1354 IBM Jobs

Data Engineer-Data Platforms-AWS

6-10 years

Kochi

Data Engineer-Data Platforms-AWS

IBM

posted 12hr ago

Job Role Insights

Flexible timing

Job Description

Responsibilities

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 education
    Bachelor's Degree

    Preferred education
    Master's Degree

    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 experience
  • 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

    Read full job description

    IBM Interview Questions & Tips

    Prepare for IBM Data Engineer roles with real interview advice

    Top IBM Data Engineer Interview Questions

    Q1. 1) How to handle data skewness in spark.
    Q2. 5) How to create a kafka topic with replication factor 2
    Q3. 4) How to read json data using spark
    View all 29 questions

    What people at IBM are saying

    4.2
     Rating based on 205 Data Engineer reviews

    Likes

    1. Work-Pertional life balance. 2. Your work recognition. 3. Appreciation of your work. 4. Job security. 5. Opportunity to learn and grow yourself in multiple technology and tools.

    • Salary - Good
    • +6 more
    Dislikes

    1. All the mentioned benefits are depending on project basis, its not a universal.

    Read 205 Data Engineer reviews

    Data Engineer salary at IBM

    reported by 2.8k employees
    ₹3.9 L/yr - ₹24.8 L/yr
    30% more than the average Data Engineer Salary in India
    View more details

    What IBM employees are saying about work life

    based on 21.9k employees
    78%
    84%
    66%
    79%
    Flexible timing
    Monday to Friday
    No travel
    Day Shift
    View more insights

    IBM Benefits

    Work From Home
    Soft Skill Training
    Health Insurance
    Job Training
    Cafeteria
    Free Transport +6 more
    View more benefits

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