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Data Engineer-Data Platforms @ IBM

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 Data Engineer-Data Platforms

Job Description

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment.
The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the worlds technology leader. Come to IBM and make a global impact
  • Responsibilities:
  • Responsible to manage end to end feature development and resolve challenges faced in implementing the same
  • Learn new technologies and implement the same in feature development within the time frame provided
  • Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system
  • fixing the issues reported on Content Management back end software system
  • Required education
    Bachelor's Degree Preferred education
    Master's Degree Required technical and professional expertise
  • Overall, more than 6 years of experience with more than 4+ years of Strong Hands on experience in Python and Spark
  • Strong technical abilities to understand, design, write and debug to develop applications on Python and Pyspark.
  • Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure
  • strong problem-solving skill
  • Preferred technical and professional experience
  • Good to Have;- Hands on Experience on cloud technology AWS/GCP/Azure
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Data Platform Engineer
    Employement Type: Full time

    Contact Details:

    Company: IBM
    Location(s): Hyderabad

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    Keyskills:   spark gcp python microsoft azure aws hive scala pyspark apache pig sql docker java linux mysql hadoop big data etl hbase natural language processing oozie machine learning mapreduce kafka sqoop unix

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