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- Tasks: Join us as an Azure DB Data Engineer, crafting data solutions and enhancing data integration.
- Company: Be part of a forward-thinking tech company focused on innovative data platforms.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for professional growth.
- Why this job: Work with cutting-edge technology and make a real impact in data engineering.
- Qualifications: Strong Azure experience, Python skills, and a passion for data are essential.
- Other info: Ideal for those eager to learn and grow in a dynamic, agile environment.
The predicted salary is between 48000 - 72000 £ per year.
Tasks and Responsibilities
- Ingestion configuration
- Write python/pyspark and spark SQL code for validation/curation in notebook
- Create data integration test cases
- Implement or amend worker pipelines
- Implement Data validation/curation rules
- Convert data model data mapping to technical data mapping
- Implement Integrations
- Data migration implementation and execution
- Data analysis (profiling etc)
- Azure DevOps/GitHub configurations for ADF and Databricks code
Our ideal candidate:
- Strong experience in designing and delivering Azure-based data platform solutions, technologies including Azure ADF and Databricks, Azure Functions, App Service, Logic App, AKS, Azure App Service, Web App
- Good knowledge in real-time streaming applications, preferably with experience in Kafka real-time messaging or Azure Functions, Azure Service Bus
- Spark processing and performance tuning
- File formats partitioning for e.g. Parquet, JSON, XML, CSV
- Azure DevOps/GitHub
- Hands-on experience in at least one of Python with knowledge of the others
- Experience of synchronous and asynchronous interface approaches
- Knowledge in data modeling (3NF/Dimensional modeling/Data Vault2)
- Work experience in agile delivery
- Able to provide comprehensive documentation
- Able to set and manage realistic expectations for timescales, costs, benefits, and measures for success
Nice to Have:
- Experience with integration and implementation of data cataloging tools like Azure Purview/Collabra
- Experience in implementing and integrating visualization tools like Power BI/Tableau etc.
- Experience in C# application development (ASP.NET MVP)
Azure DB Data Engineer employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure DB Data Engineer
✨Tip Number 1
Familiarise yourself with Azure ADF and Databricks by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also demonstrate your commitment to potential employers.
✨Tip Number 2
Join online communities or forums related to Azure technologies, such as Stack Overflow or LinkedIn groups. Engaging with professionals in the field can provide valuable insights and networking opportunities that may lead to job referrals.
✨Tip Number 3
Consider obtaining relevant certifications in Azure data engineering. Certifications can significantly boost your credibility and show employers that you have the necessary skills and knowledge to excel in the role.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges in Python and Spark SQL. Familiarity with common data engineering problems and solutions will help you stand out during the interview process.
We think you need these skills to ace Azure DB Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure-based data platform solutions, particularly Azure ADF, Databricks, and any relevant technologies mentioned in the job description. Use specific examples to demonstrate your skills in Python, Spark processing, and data modelling.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities listed, such as your experience with data integration test cases and real-time streaming applications. Be sure to mention any relevant projects you've worked on.
Showcase Relevant Projects: If you have worked on projects involving Azure Functions, Kafka, or data migration, include these in your application. Describe your role, the technologies used, and the outcomes achieved. This will help demonstrate your hands-on experience and problem-solving abilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that all technical terms are used correctly and that your application is clear and professional. A polished application reflects your attention to detail.
How to prepare for a job interview at Cognizant
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure ADF, Databricks, and other relevant technologies. Bring examples of projects where you've successfully implemented data solutions, and be ready to explain your thought process and the challenges you faced.
✨Demonstrate Problem-Solving Abilities
Expect scenario-based questions that assess your problem-solving skills. Think about how you would approach data validation or integration issues, and articulate your strategies clearly during the interview.
✨Highlight Agile Experience
Since the role requires experience in agile delivery, be sure to discuss your familiarity with agile methodologies. Share specific examples of how you've contributed to agile teams and how it has improved project outcomes.
✨Prepare for Behavioural Questions
Companies often use behavioural questions to gauge cultural fit. Prepare to discuss past experiences where you set and managed expectations, handled tight deadlines, or collaborated with cross-functional teams. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
