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Azure Data Engineer (With Strong Python) @ Coforge

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Coforge  Azure Data Engineer (With Strong Python)

Job Description

Job Description:-

Required:

Data Engineer Location: Bangalore / Noida


About the Role

We are looking for a highly motivated and technically skilled Data Engineer / Data Analyst to support our data operations and analytics initiatives. This is a contingent position ideal for someone who thrives in a dynamic environment, enjoys solving complex data challenges, and is passionate about building and maintaining robust data frameworks.


Key Responsibilities-

  • Develop, maintain, and optimize data pipelines using Python, SQL, and Databricks Support and enhance our DataOps framework, ensuring scalability, reliability, and performance Integrate various technologies and data sources within the Microsoft Azure ecosystem (e.g., Azure Data Factory, Azure Synapse, Azure Storage)
  • Perform exploratory data analysis and generate actionable insights to support strategic decision-making.
  • Collaborate with cross-functional teams to understand data needs and deliver high-quality solutions
  • Ensure data quality, governance, and documentation standards are upheld.
  • Continuously explore and evaluate new tools and technologies to improve our data stack.

Required Qualifications-

  • Proven experience in data engineering and data analysis
  • Strong proficiency in Python, SQL, and Databricks
  • Hands-on experience with Azure data services and cloud-based data integration Familiarity with DataOps principles and best practices

Share your resume over Aa***********a@Co****e.Com

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Coforge
Location(s): Noida, Gurugram

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Keyskills:   python Healthcare Domain Azure Cloud Snowflake Data Modeling AWS SQL

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Coforge

Coforge is a leading global IT solutions organization, enabling its clients to transform at the intersect of unparalleled domain expertise and emerging technologies to achieve real-world business impact. A focus on very select industries, a detailed understanding of the underlying processes of those...