At a Glance
- Tasks: Develop data pipelines and work on a cloud-based data lakehouse architecture.
- Company: Global recruitment specialist with a focus on innovative tech solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Onsite work three days a week with excellent career advancement potential.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: Experience in data pipelines, Java/Groovy, and agile development.
The predicted salary is between 50000 - 65000 £ per year.
We are a Global Recruitment specialist that provides support to clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Duration: Till May 2025
Location: Corsham/Andover/Northwood - 3 days per week onsite
Requires Security Clearance or ability to get SC in short timescales; eligibility and willingness to undertake DV clearance is useful for the role.
The key responsibilities of the role are:
- To work as a data pipeline/ETL developer within the context of deploying a data lakehouse architecture on both a cloud (AWS) and on-prem platform.
- Developing data models for the pipeline, and handling non-functional aspects such as security, performance, and metadata labelling.
- Working in a collaborative development team, in agile sprints within an SDLC, to develop unit/integration tests for the pipelines.
Skills and Experience:
Essential:
- Experience building data pipelines within lakehouse architectures
- Experience with event sourcing/change data capture and event-driven architectures
- Familiarity with Java/Groovy and Object-Oriented Design principles
- Working in an SDLC with an integrated development team on CICD tooling (Git)
Desirable:
- Experience with Apache NiFi
- AWS experience, including familiarity with EMR, S3, SQS
- Awareness of domain-driven design approaches and architecture
- Linux awareness and scripting skills
- Postgres/PLSQL knowledge
Key Strengths: Self-starter and willingness to pick up new skills.
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often shortlisted within 48 hours.
NiFi Developer/ETL Developer in Andover employer: eTeam Workforce Limited
As a leading Global Recruitment specialist, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Located in the vibrant areas of Corsham, Andover, and Northwood, our team enjoys the flexibility of a hybrid working model, alongside opportunities to engage in cutting-edge projects within data architecture. With a commitment to professional advancement and a collaborative environment, we offer a rewarding career path for NiFi Developers/ETL Developers looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land NiFi Developer/ETL Developer in Andover
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We think you need these skills to ace NiFi Developer/ETL Developer in Andover
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 eTeam Workforce 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 eTeam Workforce 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 eTeam Workforce 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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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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.
