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- Tasks: Design and implement Azure data strategies to meet business goals.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Competitive compensation with bonuses and a commitment to diversity.
- Why this job: Transform complex data environments while collaborating with cross-functional teams.
- Qualifications: 5+ years of experience in data architecture and Azure technologies required.
- Other info: Participate in scrum ceremonies and contribute to continuous improvement.
The predicted salary is between 43200 - 72000 £ per year.
Technology: Cloud Platform | Azure Core services
Company: ITL UK
Requisition ID: 131166BR
Job Description:
Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.
At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.
Role Essential Responsibilities
- Design and implement Azure data engineering solutions (Ingestion & Curation)
- Create and maintain Azure data solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
- Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
- Use Azure Data Factory and Databricks to assemble large, complex data sets
- Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
- Ensure data quality / security and compliance.
- Optimize Azure SQL databases for efficient query performance.
- Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures.
- Participate in all scrum ceremonies.
Experience And Knowledge Required Including Specific Functional, Product Or Domain Expertise
- Blend of technical expertise with 5+ years of experience, analytical problem-solving, and collaboration with cross-functional teams
- Azure DevOps
- Apache Spark, Python
- Strong SQL proficiency
- Data modeling understanding
- ETL processes, Azure Data Factory
- Azure Databricks knowledge
- Familiarity with data warehousing
- Big data technologies
- Data governance principles are a plus
Overview:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
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Senior Consultant_ Azure employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant_ Azure
✨Tip Number 1
Make sure to showcase your experience with Azure technologies prominently. Highlight specific projects where you've designed and implemented data solutions using Azure Data Lake, Azure SQL Database, or Azure Blob Storage.
✨Tip Number 2
Demonstrate your analytical problem-solving skills by preparing examples of how you've tackled complex data challenges in previous roles. Be ready to discuss these during interviews.
✨Tip Number 3
Familiarize yourself with the latest trends and best practices in data governance and management. Being knowledgeable about current industry standards can set you apart from other candidates.
✨Tip Number 4
Engage with the Azure community through forums or local meetups. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Senior Consultant_ Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure technologies, data architecture, and any relevant projects. Use specific keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data strategies and how your background aligns with the company's goals. Mention your experience in designing and implementing Azure solutions and your collaborative approach.
Showcase Relevant Projects: Include examples of past projects where you successfully implemented data pipelines or worked with Azure Data Factory. Highlight your problem-solving skills and ability to work with cross-functional teams.
Prepare for Technical Questions: Be ready to discuss your technical expertise in Azure, data governance, and ETL processes during interviews. Prepare to explain your approach to ensuring data quality and compliance.
How to prepare for a job interview at Infosys Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Azure technologies in detail. Highlight specific projects where you designed and implemented data solutions, focusing on Azure Data Lake, Azure SQL Database, and Azure Blob Storage.
✨Demonstrate Problem-Solving Skills
Prepare examples of complex data challenges you've faced and how you approached them. Emphasize your analytical problem-solving abilities and how they contributed to successful project outcomes.
✨Collaborate Effectively
Since the role involves working with cross-functional teams, be ready to discuss your collaboration experiences. Share how you communicated requirements and translated them into actionable tasks for data engineers and other stakeholders.
✨Understand Agile Methodologies
Familiarize yourself with scrum ceremonies and agile practices, as participation in these is part of the role. Be prepared to discuss how you've applied agile methodologies in previous projects to enhance team performance and project delivery.
