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Data Engineer | Codersbrain

full-time
Posted on June 24, 2025

Job Description

Data Engineer

Company Overview

Details about the company, its industry, and culture are not provided.

Job Summary

The Data Engineer will play a crucial role in designing, implementing, and managing data architecture solutions on Azure. This position is essential for ensuring the seamless integration of data pipelines and services, contributing significantly to the organization’s goals through efficient data processing and analysis.

Responsibilities

  • Design and implement Azure data architecture solutions to support data ingestion, storage, and processing.
  • Develop and maintain Azure functions and app services to automate data workflows.
  • Collaborate with data scientists and analysts to ensure data availability and reliability.
  • Create and manage CI/CD pipelines for data applications to ensure smooth deployments.
  • Troubleshoot and optimize data processes and systems for performance and scalability.

Qualifications

  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Technical Skills:
    • Proficient in Azure Architecture, including services such as Azure Functions and App Services.
    • Strong programming skills in Python for data manipulation and integration.
    • Experience in building and managing CI/CD pipelines.
    • Familiarity with data modeling and ETL processes.
  • Soft Skills:
    • Excellent problem-solving abilities.
    • Strong communication and collaboration skills.
    • Ability to work independently as well as in a team environment.

Preferred Skills

  • Experience with additional Azure services (e.g., Azure Data Lake, Azure Synapse).
  • Knowledge of data governance and security best practices.
  • Familiarity with machine learning frameworks and tools.

Experience

  • Minimum of 8 years of experience as a Data Engineer or in a similar role.

Environment

  • This position is hybrid, requiring the candidate to work from the office 2 to 3 days a week.
  • Locations include Noida, Gurgaon, Indore, and Hyderabad.

Salary

Salary details are not provided.

Growth Opportunities

Potential career advancement opportunities within the company are not specified.

Benefits

Details regarding benefits offered, such as insurance, paid leave, and work policies, are not provided.

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