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1753 IBM Jobs

Data Engineer-Data Platforms-AWS

4-9 years

Kochi

Data Engineer-Data Platforms-AWS

IBM

posted 4hr ago

Job Role Insights

Flexible timing

Job Description

Responsibilities

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include:Strategic SAP Solution Focus:Working across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution Delivery:Involvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies.


Required education
Bachelor's Degree

Preferred education
Master's Degree

Required technical and professional expertise
  • Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills
  • Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala.
  • Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies.
  • Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB
  • Good to excellent SQL skills


  • Preferred technical and professional experience
  • Certification in AWS and Data Bricks or Cloudera Spark Certified developers

  • 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
    ₹3.2 L/yr - ₹24.3 L/yr
    28% more than the average Data Engineer Salary in India
    View more details

    What IBM employees are saying about work life

    based on 22k 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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