Senior Big Data Engineer – Spark, Kafka & NoSQL

Senior Big Data Engineer – Spark, Kafka & NoSQL

Full-Time No working from home possible
Ascent People Ltd

At a Glance

  • Tasks: Drive our analytics platform using Kafka, Spark, and NoSQL databases.
  • Company: Ascent People Ltd, a forward-thinking company in Yorkshire.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with exciting projects and career advancement.
  • Why this job: Join us to shape data solutions that make a real difference.
  • Qualifications: Experience with big data technologies and a passion for data-driven insights.

Ascent People Ltd in Yorkshire is seeking a Senior Big Data Developer to drive our analytics platform within the Business Intelligence function. You will work with technologies such as Kafka, Spark and databases like MongoDB, Cassandra and SQL Server to deliver scalable data solutions.

The role involves assessing database technologies, configuring Hadoop, and designing data transformations, ensuring data quality, and addressing security and governance across the enterprise.

#J-18808-Ljbffr

Senior Big Data Engineer – Spark, Kafka & NoSQL employer: Ascent People Ltd

Ascent People Ltd is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Warrington. With a strong emphasis on employee growth, you will have the opportunity to mentor junior team members while developing impactful business strategies in a supportive hybrid environment. Enjoy the unique advantage of flexible working arrangements, allowing you to balance professional development with personal commitments.

Ascent People Ltd

Contact Details:

Ascent People Ltd Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Big Data Engineer – Spark, Kafka & NoSQL

✨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 Ascent People Ltd!

✨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 Senior Big Data Engineer – Spark, Kafka & NoSQL at Ascent People Ltd.

✨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 Ascent People Ltd.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Big Data Engineer – Spark, Kafka & NoSQL at Ascent People Ltd, 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 Senior Big Data Engineer – Spark, Kafka & NoSQL

Big Data Technologies
Spark
Kafka
NoSQL Databases
MongoDB
Cassandra
SQL Server

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 Ascent People Ltd, 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 Ascent People Ltd. 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 Ascent People Ltd

✨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 Ascent People Ltd!

✨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.