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1050 Capgemini Jobs

AWS EMR - Professional

Capgemini

posted 3d ago

Job Role Insights

Flexible timing

Job Description


Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

 

About The Role : 

Setting up and managing EMR clusters for processing large-scale data using frameworks like Apache Hadoop, Apache Spark, Apache Hive, etc.
Configuring EMR clusters based on specific requirements, including choosing the appropriate instance types, storage configurations, and software settings.
Implementing and optimizing data processing workflows on EMR clusters, leveraging distributed computing frameworks for tasks such as data cleansing , transformation, and analysis.
Writing scripts and code to interact with EMR clusters, often using languages like Python, Java, or Scala, to develop and execute data processing jobs.
Integrating EMR with other AWS services, such as Amazon S3 for storage, AWS Glue for ETL (Extract, Transform, Load), AWS Lambda and other complementary services to create end-to-end data pipelines.
Optimizing cluster performance by fine-tuning configurations, adjusting resource allocation, and implementing best practices for efficient data processing.
Implementing monitoring solutions to track cluster performance and troubleshoot issues, ensuring the reliability and availability of the big data processing environment.
Implementing security measures to protect data within EMR clusters, configuring access controls, encryption, and ensuring compliance with security policies.
Implementing automation for cluster provisioning, scaling, and decommissioning to streamline operations and improve efficiency.
Overall, an AWS EMR role requires a combination of cloud computing knowledge, big data processing expertise, scripting/coding skills , and a good understanding of data engineering principles.
AWS certifications, such as the "AWS Solution Architect - Associate" or relevant certifications demonstrating expertise in cloud computing, are often preferred.
Good communication skills to interact with cross-functional teams, understand business requirements, and effectively convey technical information.
Ability to collaborate with data engineers, data scientists, and other stakeholders in a team-oriented environment.

 

Primary Skill 
  • AWS Infrastructure Management
  • EMR
  • EMR infrastructure automation using IaC tools like Terraform


  •  

    Secondary Skill 
  • Good Communication Skills

  • Employment Type: Full Time, Permanent

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    People are getting interviews at Capgemini through

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    Job Portal
    Campus Placement
    Company Website
    Referral
    Walkin
    Recruitment Consultant
    43%
    19%
    8%
    7%
    5%
    2%
    16% candidates got the interview through other sources.
    High Confidence
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    High Confidence means the data is based on a large number of responses received from the candidates.

    What people at Capgemini are saying

    4.6
     Rating based on 5 Professional reviews

    Likes

    Good work culture, work life balance, providing work form home

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    Read 5 reviews

    Professional salary at Capgemini

    reported by 64 employees with 2-5 years exp.
    ₹4 L/yr - ₹14 L/yr
    24% less than the average Professional Salary in India
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    What Capgemini employees are saying about work life

    based on 39.2k employees
    71%
    88%
    65%
    85%
    Flexible timing
    Monday to Friday
    No travel
    Day Shift
    View more insights

    Capgemini Benefits

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    Salary
    Flexible working
    Leave
    Mobility
    Pension
    Submitted by Employees
    Work From Home
    Cafeteria
    Soft Skill Training
    Health Insurance
    Job Training
    Gymnasium +6 more
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