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- Tasks: Design and implement Azure data solutions while collaborating with cross-functional teams.
- Company: Infosys is a global leader in digital services, empowering clients through their digital transformation journey.
- Benefits: Enjoy a dynamic work culture, continuous learning opportunities, and a commitment to diversity and inclusion.
- Why this job: Join a forward-thinking team where your ideas can flourish and make a real impact.
- Qualifications: 5+ years of technical experience with Azure, SQL, and data engineering principles required.
- Other info: This role is based in London, offering a chance to work in a vibrant city.
The predicted salary is between 43200 - 72000 £ per year.
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.
Senior Consultant_ Azure_ UK employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant_ Azure_ UK
✨Tip Number 1
Familiarise yourself with Azure services and tools mentioned in the job description, such as Azure Data Factory and Databricks. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during interviews.
✨Tip Number 2
Network with current or former employees of Infosys, especially those in similar roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach when discussing your fit for the position.
✨Tip Number 3
Prepare to discuss specific examples of how you've implemented data engineering solutions in previous roles. Be ready to explain your thought process and the impact of your work on the overall project or business outcomes.
✨Tip Number 4
Stay updated on the latest trends and advancements in cloud technology and data engineering. Being knowledgeable about industry developments can demonstrate your commitment to continuous learning, which aligns with Infosys's values.
We think you need these skills to ace Senior Consultant_ Azure_ UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Azure data engineering, SQL proficiency, and any specific technologies mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Azure technologies. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Your Technical Skills: In your application, emphasise your technical expertise, particularly in Azure DevOps, Apache Spark, and ETL processes. Provide examples of how you've successfully implemented these skills in previous roles.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Describe how you effectively communicated and worked with others to achieve project goals.
How to prepare for a job interview at Infosys
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Azure data engineering solutions, especially your proficiency in Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Be prepared to discuss specific projects where you designed and implemented data pipelines or ETL operations using Azure Data Factory.
✨Demonstrate Problem-Solving Skills
Infosys values analytical problem-solving abilities. Prepare examples of challenges you've faced in previous roles and how you approached them, particularly in collaboration with cross-functional teams. This will show your ability to navigate complex issues effectively.
✨Understand the Company Culture
Familiarise yourself with Infosys' culture of learnability and innovation. Be ready to discuss how you can contribute to this environment and how your values align with theirs. Showing that you understand their commitment to diversity and inclusion can also set you apart.
✨Prepare for Technical Questions
Expect technical questions related to Azure DevOps, Apache Spark, and SQL. Brush up on your knowledge of data governance principles and big data technologies, as these are relevant to the role. Practising common interview questions in these areas can help you feel more confident.
