- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 8 hours ago
- Work mode
- In office
- Education
- B.Sc or B.Tech / B.E.
- Eligibility
- Candidates with a B.Sc. in any specialization, B.Tech, or B.E. in any field are eligible to apply.
- Resume
- Required to apply
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Job description
About Capgemini
Capgemini is a global leader in business and technology transformation, assisting organizations to navigate their dual shift towards digitalization and sustainability, while producing meaningful outcomes for enterprises and society. The company boasts a diverse workforce of 340,000 employees across more than 50 countries and has a legacy spanning over 55 years. Renowned for unlocking technological value to meet comprehensive business needs, Capgemini offers end-to-end solutions from strategy and design to engineering, leveraging cutting-edge capabilities in AI, cloud, and data along with profound industry experience and partner networks. The group's reported global revenue for 2023 was 22.5 billion euros.
In India, Capgemini employs approximately 175,000 staff members spread over 13 locations including Bangalore, Hyderabad, Mumbai, and others.
Role Overview
We are seeking a skilled and enthusiastic Azure Data Engineer to join our team based in Hyderabad. This role involves collaborating with top global clients to design, implement, and enhance modern data architectures utilizing Microsoft Azure cloud technologies.
Key Responsibilities
- Create and manage comprehensive data pipelines employing Azure Data Factory and Azure Databricks platforms.
- Utilize Azure SQL Database, Azure SQL Data Warehouse, and Azure Synapse Analytics to manage and analyze data.
- Build data processing solutions using programming languages and frameworks such as Python, PySpark, Scala, and Hive.
- Establish and maintain distributed data workflows on Azure Databricks.
- Develop and implement CI/CD pipelines tailored for data applications.
- Engage with cross-functional teams to gather requirements and deliver robust data solutions.
- Perform data quality assurance, optimize system performance, and apply best practices in cloud data architecture.
Required Skills and Technical Expertise
- Strong experience in Azure Data Factory and Azure Databricks (at least one is essential).
- Proficiency in Azure SQL Database, Azure SQL Warehouse, and Azure Synapse Analytics.
- Programming knowledge in Python, PySpark, Scala, and Hive.
- Experience in building and managing CI/CD pipelines in data-centric projects.
Eligibility Criteria
Applicants must hold a B.Sc. degree in any specialization or a B.Tech / B.E. degree in any specialism.
Minimum education
Bachelor's Degree