An Azure Data Engineer at Capgemini is accountable for designing, constructing, and retaining statistics processing systems on Microsoft Azure. They increase ETL pipelines using Azure Data Factory (ADF), Azure Databricks (ADB), and Synapse Analytics, making sure inexperienced statistics garage, transformation, and retrieval. They paintings with SQL, Python, PySpark, and Scala to approach big information and optimize normal customary overall performance. Additionally, they placed into impact CI/CD pipelines, make certain information protection and compliance, and collaborate with data analysts and corporation companies
- 💼Positions :- Azure Data Engineer
- 🏢Company :- Capgemini
- 🤝Experience :- 4 to 12 years
- 🎓Qualifications :- Any Graduation
- 📍Location :- Noida, India
- 💵Salary :- Not Disclosed
- 👔Employment Type: Full Time
Job Description Azure Data Engineer at Capgemini
As an Azure Data Engineer at Capgemini, you may play a pivotal feature in designing, enforcing, and managing records processing structures and the usage of the Microsoft Azure cloud platform. Your duties will encompass:
Designing and Developing Data Pipelines: Build, put into effect, and manipulate ETL pipelines the use of Azure Data Factory (ADF) and Azure Databricks (ADB).
Data Management: Manage and question facts using Azure SQL Database, Azure SQL Data Warehouse, and Synapse Analytics.
Data Transformation: Develop and optimize facts transformation to correct the usage of programming languages such as Python, PySpark, Scala, or Hive.
Key Responsibilities: Azure Data Engineer at Capgemini
In Azure Data Engineer at Capgemini feature, your key obligations will encompass:
1. Designing and Developing Data Pipelines: You are probably chargeable for constructing, enforcing, and managing ETL pipelines using Azure Data Factory (ADF) and Azure Databricks (ADB). This involves extracting facts from numerous resources, remodeling it into usable codecs, and loading it into suitable information garage solutions.
2. Data Management: You will manipulate and query facts about the use of Azure SQL Database, Azure SQL Data Warehouse, and Synapse Analytics. This consists of making sure statistics integrity, optimizing question normal performance, and retaining information availability.
3. Data Transformation: Developing and optimizing records transformation common sense the usage of programming languages which encompass Python, PySpark, Scala, or Hive is a crucial part of this function. This guarantees that facts are processed efficiently and are prepared for assessment.
4. CI/CD Pipeline Creation: Building and retaining CI/CD pipelines for factories to make certain easy integration and deployment is important. This includes automating attempting out and deployment strategies to beautify reliability and performance.
Qualifications for Azure Data Engineer at Capgemini
To gain success on Azure Data Engineer at Capgemini function, you need to non-public:
- Educational Background: A bachelor’s diploma in Computer Science, Information Technology, or a related location.
- Experience: A minimum of 4 years of experience as a Data Engineer with Azure cloud technology.
- Technical Proficiency: Strong information in Microsoft Azure services, inclusive of Azure Data Factory, Azure Databricks, Azure SQL Database, Azure SQL Data Warehouse, and Synapse Analytics.
- Programming Skills: Expertise in SQL programming and information modeling, together with revel in Python, PySpark, Scala, or Hive for developing statistics changes.
- Big Data Technologies: Experience with Big Data technology and records visualization gear is a plus.
- Data Warehousing: Solid statistics of statistics warehousing requirements and first-rate practices.
- Soft Skills: Excellent verbal and written communication talents, sturdy interpersonal capabilities, and the potential to work each independently and inside a set surroundings.
Benefits of Joining Capgemini Engineering
1. Competitive Salary & Incentives: Attractive compensation applications with usual overall performance-primarily based incentives.
2. Career Growth & Learning: Access to international-magnificence schooling, certifications, and mentorship applications.
3. Work-Life Balance: Flexible work preparations, a long way off work alternatives, and paid time off.
4. Health & Wellness: Comprehensive medical health insurance, properly being applications, and intellectual health aid.
5. Cutting-Edge Projects: Opportunity to paint revolutionary, global obligations with pinnacle-tier customers.
6. Diverse & Inclusive Culture: An open, collaborative, and inclusive painting environment.
7. Retirement Benefits: Provident fund and pension schemes for lengthy-time period safety.
8. Employee Engagement: Team outings, hackathons, and company social obligation projects.
Azure Data Engineer at Capgemini Interview – Noida
- Date: March 8, 2024
- Location: Noida, India (Exact venue details could be shared with shortlisted applicants)
- Experience Required: Minimum 4 years in Azure Data Engineering
- Interview Mode: Face-to-face
Capgemini is engaging in stroll-in interviews for Azure Data Engineers with knowledge in Azure Data Factory, Azure Databricks, Synapse Analytics, SQL, Python, and CI/CD pipelines. This is an excellent opportunity to paint on modern-day projects with a worldwide chief.
Azure Data Engineer at Capgemini Interview Process
The interview technique includes the following levels:
1. Online Application & Screening: Submit your resume thru Shortlisted candidates will reap venue data.
2. Technical Interview: Face-to-face assessment on Azure Data Factory, Databricks, Synapse Analytics, SQL, Python, and CI/CD pipelines.
3. Coding/Hands-on Test: Practical trouble-solving the usage of SQL, Python, or Scala.
4. Managerial Round: Discussion on beyond projects, problem-fixing methods, and teamwork.
5. HR Interview: Final evaluation overlaying earnings expectancies, work manner of existence, and career dreams
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