Capgemini is hiring Azure Data Engineer 2024 | Apply Now

Role: Azure Data Engineer

Experience: 3 – 8 years

Salary: Not Disclosed

Location: Hybrid (Pune, Gurgaon/Gurugram, Bangalore/Bengaluru)

Employment Type: Full Time, Permanent

Education: UG: Any Graduate

About Capgemini Company

Capgemini is a global leader in partnering with businesses to convert and manipulate their commercial enterprise by harnessing the power of technology. The Group is guided every day employing its motive of unleashing human electricity through generation for an inclusive and sustainable future. It is a responsible and numerous agency with over 300,000 team participants in nearly 50 nations.

Azure Data Engineer Description

An Azure Data Engineer designs implements, and continues facts solutions on the Microsoft Azure cloud platform. Responsibilities include records ingestion, garage, processing, and visualization using Azure services which include Azure SQL Database, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. They broaden ETL techniques, optimize information pipelines for overall performance and cost-efficiency, and ensure information protection and compliance. Collaborating with stakeholders, they translate business requirements into scalable, reliable, and high-overall performance records solutions to help choice-making and commercial enterprise insights.

Azure Data Engineer Skills

• Azure Services Mastery: Proficiency in Azure records offerings along with Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Cosmos DB to layout and put into effect cease-to-end statistics solutions.
• Data Modeling: Expertise in information modeling techniques and tools to lay out efficient information schemas and structures for storage, processing, and evaluation in Azure environments.
• ETL Development: Strong abilities in designing and developing Extract, Transform, Load (ETL) methods and the use of Azure Data Factory or other equipment to effectively move and transform records from diverse assets into Azure facts shops.
• Programming Languages: Proficiency in languages like SQL, Python, or Scala to manipulate and analyze data within Azure services and develop custom statistics processing solutions.
• Big Data Technologies: Knowledge of large records technologies like Hadoop, Spark, and Kafka to address huge volumes of the information correctly within Azure environments.
• Data Visualization: Experience in records visualization tools including Power BI or Tableau to create significant dashboards and reports for enterprise stakeholders.
• Data Security and Compliance: Understanding of information security concepts and compliance standards to make certain information privacy, integrity, and regulatory compliance within Azure statistics answers.
• Performance Optimization: Ability to optimize facts pipelines, queries, and workloads for performance and fee performance in Azure environments, leveraging capabilities like partitioning, indexing, and caching.
• Problem-Solving: Strong analytical and problem-solving abilities to troubleshoot issues, optimize procedures, and improve the overall performance of Azure facts answers.
• Communication and Collaboration: Effective communication abilities to collaborate with move-useful teams, recognize commercial enterprise necessities, and translate them into scalable and dependable Azure statistics answers.

Azure Data Engineer roles and responsibilities 

1. Azure Data Solution Design: Design stop-to-cease facts answers on Azure, consisting of records ingestion, garage, processing, and analytics, aligning with enterprise requirements and fine practices.
2. Data Ingestion: Develop and put into effect facts ingestion pipelines to efficiently acquire and ingest information from various sources into Azure data shops, ensuring data fine and reliability.
3. ETL Development: Build Extract, Transform, Load (ETL) methods with the use of Azure Data Factory or other gear to transform and put together uncooked statistics for evaluation and reporting.
4. Data Modeling: Design and implement information fashions and schemas optimized for performance and scalability inside Azure data offerings, making sure green information storage and retrieval.
5. Performance Optimization: Identify and implement optimizations to improve the performance and scalability of records pipelines, queries, and workloads inside Azure environments.
6. Data Security and Compliance: Ensure statistics safety and compliance with rules inclusive of GDPR or HIPAA via imposing suitable security features, encryption, and entry to controls.
7. Monitoring and Maintenance: Monitor the fitness and performance of Azure statistics solutions, proactively figuring out and resolving troubles to ensure high availability and reliability.
8. Documentation and Best Practices: Document design decisions, configurations, and first-class practices for Azure information solutions, facilitating know-how sharing and adherence to standards.
9. Collaboration: Collaborate with pass-purposeful groups consisting of data scientists, analysts, and enterprise stakeholders to recognize necessities and deliver effective Azure statistics solutions that meet business wishes.
10. Continuous Improvement: Stay updated on rising Azure technology and pleasant practices, constantly enhancing talents and competencies to enhance Azure facts answers and power commercial enterprise value.

Azure Data Engineer Interview Questions

• Can you stroll us through your enjoy designing and implementing statistics solutions at the Azure cloud platform, highlighting precise projects and the Azure offerings you applied?
• How do you approach records ingestion from various assets into Azure records shops, ensuring reliability, scalability, and performance within the ETL tactics?
• Can you discuss a challenging situation you encountered whilst optimizing records pipelines in Azure, and how you addressed performance or scalability issues?
• How do you ensure facts protection and compliance inside Azure records solutions, thinking about factors that include information encryption, entry to control, and regulatory requirements?
• In your enjoy, what techniques do you rent to collaborate effectively with go-purposeful groups, which include information scientists, analysts, and enterprise stakeholders, to deliver successful Azure records initiatives that meet business goals?

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