An Azure Data Engineer designs and implements data answers the usage of Azure technologies. Responsibilities include growing, handling, and optimizing facts pipelines, ensuring records are first-class and consistent, and integrating information from various resources. They paint with Azure Data Factory, Azure SQL Database, and Azure Data Lake to help with analytics and reporting desires. Key abilities include proficiency in SQL, Python, and Azure services, along with enjoyment in data warehousing and ETL techniques.
- Job Role: Azure Data Engineer
- Salary: Not Disclosed
- Location: Bengaluru, Karnataka
- Company: CGI
- Employment Type: Full-time / Permanent
- Qualification: Graduate
About Company:
CGI is a worldwide IT and consulting services business enterprise presenting stop-to-give-up answers in IT and enterprise consulting. Founded in 1976, CGI provides services that include structure integration, application improvement, and controlled services to clients throughout diverse industries. With a focal point on innovation and technology, CGI helps groups optimize their operations, enhance purchaser experiences, and power digital transformation. The corporation operates in numerous nations, emphasizing a customer-centric method and deep enterprise know-how.
Role Overview:
As an Azure Data Engineer at CGI, you will be pivotal in designing, implementing, and optimizing facts solutions within the Microsoft Azure cloud environment. The role entails developing scalable statistics architectures, optimizing ETL strategies, and ensuring statistics integrity and security. You will paint with move-functional groups to supply superior analytics solutions and guide facts-pushed selection-making approaches.
Responsibilities:
Data Architecture and Modeling:
- Design and implement scalable and green records models.
- Develop and maintain databases, statistics warehouses, and facts lakes to aid organizational information wishes.
ETL (Extract, Transform, Load) Processes:
- Build and optimize ETL strategies for extracting, transforming, and loading records.
- Ensure facts are processed efficiently and appropriately to satisfy enterprise requirements.
Data Integration:
- Implement answers for seamless integration of information across numerous systems and platforms.
- Maintain facts consistency and accuracy throughout integration strategies.
Data Processing and Analysis:
- Develop and optimize algorithms for effective records processing and evaluation.
- Collaborate with facts scientists and analysts to develop advanced analytics solutions.
Cloud Platform Expertise:
- Demonstrate strong talent in Microsoft Azure cloud platform services, inclusive of Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse Analytics.
- Utilize Azure services for records storage, processing, and analytics.
Data Security and Compliance:
- Implement security features to guard sensitive statistics.
- Ensure compliance with records privacy rules and enterprise standards.
Performance Optimization:
- Monitor and optimize database and question performance for large-scale datasets.
- Troubleshoot and remedy overall performance troubles to ensure the highest quality machine capability.
Collaboration:
- Work closely with go-useful groups, such as records scientists, analysts, and software engineers.
- Understand information requirements and deliver powerful, tailor-made solutions.
Documentation:
- Create and maintain comprehensive documentation for information architecture, strategies, and solutions.
- Ensure documentation is updated and handy for destiny reference.
Key Requirements:
Proficiency in Azure Services: Strong understanding of Microsoft Azure cloud platform offerings which include Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse Analytics.
ETL and Data Architecture Skills: Proven enjoy designing and implementing scalable information architectures and optimizing ETL tactics.
Technical Expertise: Advanced abilties in SQL and programming languages along with Python or Scala. Familiarity with information warehousing and records modeling concepts.
Problem-solving Skills: Excellent trouble-fixing and troubleshooting competencies to deal with records-associated demanding situations correctly.
Communication and Collaboration: Strong verbal exchange and teamwork abilities, with the ability to work independently and as a part of a team.
Certifications: Certifications in relevant Azure technology are a plus and can decorate your candidacy.
Benefits at CGI:
Comprehensive Health Coverage: Includes medical, dental, and imaginative and prescient coverage to help usual well-being.
Retirement Savings Plans: Offers competitive 401(okay) plans with business enterprise contributions to assist personnel plan for their future.
Work-Life Balance: Provides flexible painting preparations, consisting of far-off work alternatives, to deal with personal and professional wishes.
Professional Development: Invests in continuous studying and career growth through training applications, certifications, and educational help.
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