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Big Data, Spark, Python, AWS, Big Data Analytics
Description
We are looking for Big Data Leads to join our global workforce. Our dynamic team offers valuable opportunities and a tangible career support system for your professional and personal development.
Location: San Francisco
Role Type: Full Time
Published On: 17 August 2022
Experience: 6+ Years
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Description
We are looking for Big Data Leads to join our global workforce. Our dynamic team offers valuable opportunities and a tangible career support system for your professional and personal development.
Role and Responsibilities

• Participate in all phases of the software development lifecycle, including requirement gathering, functional and technical design, development, testing, roll-out, and support.
• Solve complex business problems by utilizing a disciplined development methodology.
• Produce scalable, flexible, efficient, and supportable solutions using appropriate technologies.
• Analyze the source and target system data. Map the transformation that meets the requirement.
• Interact with the client and onsite teams during different phases of a project.
• Communicate effectively with business stakeholders and architects.
  

• 7+ years of experience in developing Big Data applications.
• Prior work experience with large-scale Big Data and Analytics applications.
• Strong experience in using Agile Scrum.
• Good understanding of distributed systems and handling large amounts of data.
• Hands-on experience in using technologies like Spark, Pyspark, Python, and AWS.
• Thorough understanding of data structures and algorithms.
• Implement solutions with Amazon Virtual Private Cloud, EC2, AWS Data Pipeline, AWS CloudFormation, AWS Auto Scaling, Amazon Simple Storage Service (S3), Amazon Elastic MapReduce (EMR), and other AWS products, along with HIVE and Athena.
• Strong problem-solving, communication, and presentation skills.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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