Data Migration Lead: ETL, API & Data Warehouse Expert in Sheffield

Data Migration Lead: ETL, API & Data Warehouse Expert in Sheffield

Sheffield Full-Time 36000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data migrations and ensure high-quality delivery throughout the migration lifecycle.
  • Company: Dynamic tech solutions provider based in Sheffield.
  • Benefits: Competitive salary, health benefits, and a chance to work on exciting projects.
  • Other info: Opportunity for professional growth in a fast-paced environment.
  • Why this job: Join a team where your expertise will directly impact data quality and project success.
  • Qualifications: Proven experience in data migration, strong SQL skills, and ETL process knowledge.

The predicted salary is between 36000 - 60000 £ per year.

A technology solutions provider in Sheffield is seeking a Data Migration Specialist to manage and deliver high-quality data migrations. This role entails overseeing the entire migration lifecycle, including extraction, transformation, validation, and reconciliation of data.

Ideal candidates should have proven experience in similar environments, strong SQL skills, and a solid understanding of ETL processes. Competitive salary and health benefits are included.

Data Migration Lead: ETL, API & Data Warehouse Expert in Sheffield employer: etiCloud

As a leading technology solutions provider in Sheffield, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With competitive salaries, comprehensive health benefits, and ample opportunities for professional growth, we are dedicated to supporting our team members in their career journeys while delivering impactful data migration solutions.

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Contact Details:

etiCloud Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Migration Lead: ETL, API & Data Warehouse Expert in Sheffield

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like etiCloud!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Migration Lead: ETL, API & Data Warehouse Expert at etiCloud.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like etiCloud.

Apply Directly through Our Website

When you find a suitable opening like Data Migration Lead: ETL, API & Data Warehouse Expert at etiCloud, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Migration Lead: ETL, API & Data Warehouse Expert in Sheffield

Data Migration
ETL Processes
SQL Skills
Data Extraction
Data Transformation
Data Validation
Data Reconciliation

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at etiCloud, 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 etiCloud. 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 etiCloud

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!

Showcase Your Projects

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

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at etiCloud!

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.