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Custom Software Engineer

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  • Posted 6 days ago
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Job Description

Project Role : Custom Software Engineer

Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.

Must have skills : Databricks Unified Data Analytics Platform

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also be responsible for troubleshooting issues and providing guidance to team members, fostering a collaborative environment that encourages innovation and efficiency in application development.

Roles & Responsibilities:

  • Expected to perform independently and become an SME.
  • Required active participation/contribution in team discussions.
  • Contribute in providing solutions to work related problems.
  • Facilitate knowledge sharing sessions to enhance team capabilities.
  • Mentor junior team members to support their professional growth.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
  • Strong understanding of data integration and ETL processes.
  • Experience with cloud computing platforms and services.
  • Familiarity with data governance and compliance standards.
  • Ability to work with large datasets and perform data analysis.
  • Must have Experience in Microsoft Azure is mandatory

Additional Information:

  • The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
  • This position is based at our Hyderabad office.
  • A 15 years full time education is required.




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About Company

Job ID: 152223375

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Hyderabad, India

Skills:

distributed computing and big data processing frameworkstroubleshooting and resolving complex technical issues related to data analytics platformsscripting and automation to streamline data workflowsDatabricks Unified Data Analytics Platformdata pipeline development and optimization within cloud environmentsdesign scalable and maintainable data solutions

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