At a Glance
- Tasks: Lead the delivery of data management solutions and develop scalable data platforms.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Competitive salary, training opportunities, and a diverse, inclusive workplace.
- Other info: Great career growth potential in a collaborative, cross-functional team.
- Why this job: Make an impact in a dynamic environment while driving data-driven business initiatives.
- Qualifications: Expertise in Snowflake, GitHub, and Octopus Deploy required.
The predicted salary is between 70000 - 85000 £ per year.
Required skill – Snowflake, GitHub, and Octopus Deploy
Location – London, UK
Role summary
We are seeking an experienced Data Management Lead to drive the delivery and management of enterprise data solutions within a complex, cross-functional environment. The ideal candidate will possess strong expertise in Snowflake, GitHub, and Octopus Deploy, with the ability to manage data platforms and support data-driven business initiatives. Experience with Guidewire is desirable, and successful candidates will receive training on the Guidewire Data Model from the Infosys Guidewire team.
Key Responsibilities
- Responsible for the delivery of data management and integration solutions.
- Design, develop, and maintain scalable data platforms and pipelines.
- Drive data governance, data quality, and operational excellence initiatives.
- Collaborate with business and technical stakeholders to understand data requirements and translate them into effective solutions.
- Support deployment, maintenance, and continuous improvement of data platforms and environments.
- Ensure adherence to development standards, best practices, and release management processes.
Technical Skills & Capabilities
- Must have: Advanced Snowflake + Confluent Cloud skills (building tables, ELT processing, queries, database maintenance, event streaming)
- Experience with GitHub & Octopus Deploy
- Resource with Lead capability to drive the team on delivery
- SQL
- Basic knowledge of Kafka (can maintain Kafka topics)
- Business analysis skills
- Understand the flow of data from CDA
- FiveTran
- Intermediate Excel Skills (Formulas and visualisation, data organisation)
- Have worked in complex cross-functional development environments
- On-prem Apache Kafka
- Understanding of Dimensional database architecture concepts
- GW certification (must understand the data)
Personal
Besides the professional qualifications of the candidates, we place great importance in addition to various forms of personality profile. These include:
- High analytical skills
- A high degree of initiative and flexibility
- High customer orientation
- High quality awareness
- Excellent verbal and written communication skills
About Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.
Data Management Lead (Snowflake + Github + Octopus Delpoy) | London employer: Infosys Limited
At Infosys, we pride ourselves on being an exceptional employer, particularly for the Quality Engineering Lead role in Leeds. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. With competitive compensation, including bonuses, and a focus on diversity and inclusion, we create a rewarding environment where you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management Lead (Snowflake + Github + Octopus Delpoy) | London
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We think you need these skills to ace Data Management Lead (Snowflake + Github + Octopus Delpoy) | London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Infosys Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Infosys Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Infosys Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
