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Data Engineer-Data Platforms-Azure

4-9 years

Kochi

Data Engineer-Data Platforms-Azure

IBM

posted 1hr ago

Job Role Insights

Flexible timing

Job Description



As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform
  • Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS
  • Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform
  • Experience in developing streaming pipelines
  • Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc


  • Required education
    Bachelor's Degree

    Preferred education
    Master's Degree

    Required technical and professional expertise
  • Total 5-8 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 Azure;
  • Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB
  • Good to excellent SQL skills


  • Preferred technical and professional experience
  • Certification in Azure and Data Bricks or Cloudera Spark Certified developers
  • Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB
  • Knowledge or experience of Snowflake will be an added advantage

  • 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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