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Senior Data Engineer @ Atyeti

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 Senior Data Engineer

Job Description

Job Title: Senior Data Engineer

Job Type: Full-Time (Hybrid)

Location: Pune


Key Skills: Python, SQL, Databricks, Apache Spark, Azure, and RESTful API Development, CI/CD


Job Description:

We are looking for an experienced Data Engineer to design, build, and optimize scalable data pipelines and backend services. The role involves working with large datasets, enabling analytics, supporting AI-driven applications, and ensuring secure data flow across cloud platforms.


Key Responsibilities:

  • Design, build, and optimize data pipelines using Databricks, Apache Spark, and SQL.
  • Develop backend services and RESTful APIs to integrate with AI/ML applications.
  • Collaborate with cross-functional teams to support analytics, reporting, and business needs.
  • Implement CI/CD pipelines and automation for continuous delivery.
  • Ensure data quality, governance, and security in all solutions.
  • Deploy and manage solutions on Azure Cloud.

Skills & Experience:

  • 5-10 years of Data Engineering experience.
  • Strong proficiency in Python, SQL, Databricks, and Apache Spark.
  • Hands-on experience with RESTful API development.
  • Experience with Azure Cloud platform.
  • Knowledge of CI/CD pipelines and automation tools.

Job Classification

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

Contact Details:

Company: Atyeti
Location(s): Pune

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Keyskills:   Spark Python SQL Azure Restfull Api Databricks

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Atyeti

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 5...