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- Tasks: Design and implement Azure data engineering 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 in the tech world.
- Qualifications: 5+ years of experience in Azure, strong SQL skills, and familiarity with data engineering technologies.
- 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 navigate further together. Our journey of learnability, values, and trusted relationships with our clients continue to be the cornerstones of our organization, upheld by 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
- Utilize Azure Data Factory or comparable technologies to create and maintain ETL operations
- Use Azure Data Factory and Databricks to assemble large, complex data sets
- Implement data validation and cleansing procedures to ensure data quality, integrity, and dependability
- Ensure data quality, security, and compliance
- Optimize Azure SQL databases for efficient query performance
- Collaborate with data engineers and stakeholders to understand requirements and translate them into scalable and reliable data platform architectures
- Participate in all scrum ceremonies
Experience and Knowledge Required
- 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 (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, we manage the systems and workings of global enterprises, guiding them through their digital journey. We empower enterprises with an AI-powered core to prioritize change execution and enable agile digital performance, delivering unprecedented customer delight. Our continuous learning agenda drives improvement by building and transferring digital skills and ideas from our innovation ecosystem. All aspects of employment at Infosys are merit-based, emphasizing competence and performance. We are committed to diversity and creating an inclusive environment. Infosys is proud to be an equal opportunity employer.
Location Details
- Country: United Kingdom
- State / Region / Province: London
- Work Location: London
Additional Details
- Interest Group: Infosys Limited
- Domain: Energy
- Skillset: Technology | Cloud Platform | Azure Core services
- Company: ITL UK
- Role Designation: 2015ASRCON Senior Consultant
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, especially Azure Data Factory and Databricks. Being able to discuss specific projects or experiences where you've used these tools will show your hands-on expertise during interviews.
✨Tip Number 2
Network with current or former employees of Infosys on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Senior Consultant role.
✨Tip Number 3
Prepare to discuss your experience with data governance principles and how they relate to Azure solutions. This knowledge is a plus for the role and can set you apart from other candidates.
✨Tip Number 4
Brush up on your SQL skills and be ready to demonstrate your ability to optimise database performance. Practical examples of how you've improved query efficiency in past roles will resonate well with interviewers.
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 Data Factory, Databricks, and ETL processes. Provide examples of how you've successfully implemented these technologies in past roles.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of how you've collaborated with others in previous positions. This could be through scrum ceremonies or joint projects that required teamwork.
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 these technologies.
✨Demonstrate Problem-Solving Skills
Prepare examples that showcase your analytical problem-solving abilities. Discuss how you've tackled complex data challenges, particularly using Azure Data Factory or Databricks, and how you optimised data pipelines for performance.
✨Understand the Company Culture
Familiarise yourself with Infosys' values and culture. They emphasise learnability and collaboration, so be ready to discuss how you can contribute to a dynamic environment and work effectively within cross-functional teams.
✨Prepare for Technical Questions
Expect technical questions related to ETL processes, data validation, and data governance principles. Brush up on your SQL skills and be ready to solve problems on the spot, as this will demonstrate your readiness for the role.
