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Custom Software Engineer

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Job Description

Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Databricks Unified Data Analytics Platform

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data operations.

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.
  • Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
  • Monitor and optimize data pipelines for performance and reliability.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
  • Strong understanding of data modeling and database design principles.
  • Experience with ETL tools and processes.
  • Familiarity with cloud platforms and services related to data engineering.
  • Knowledge of programming languages such as Python or Scala.

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.

, 15 years full time education



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Job ID: 147870343

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Hyderabad, India

Skills:

Distributed ComputingSoftware Development LifecycleAgile MethodologiesDatabricks Unified Data Analytics Platformbig data processing frameworkscloud-based data storage and processing solutions