Big Data Engineer
10 hours ago
About Us
We're a dynamic team of experts dedicated to delivering cutting-edge data solutions. At Redeploy, we pride ourselves on our collaborative and supportive company culture that encourages creative freedom and work/life balance.
As a Data Engineer at Redeploy, you'll have the opportunity to work on various projects across different industries. Your tasks will involve designing, developing, and maintaining automated workflows and pipelines to retrieve, organize, optimize, structure, and transform data from diverse sources.
You'll collaborate with our clients to understand their unique needs and navigate challenges. Your expertise in data structures, data processing, and data modelling techniques will be invaluable in creating efficient data pipelines and managing large datasets.
To succeed in this role, you should be a self-motivated and responsible problem solver who thrives in a collaborative environment. Experience working with Cloud and tools surrounding the data domain is essential. Proficiency in both Swedish and English is required for our national and international clients.
- A university degree in Computer Science, Information Technology, or Engineering
- Experience working with Cloud and tools surrounding the data domain. We mainly utilize Azure, but other cloud offerings are meritorious as well.
- Strong expertise in data structures, data processing, and data modelling techniques.
- Experience working with tooling such as SQL, Python, and Spark. If you have done it in Databricks, it would be considered a bonus.
- Proficiency in version control with Git and experienced in implementing CI/CD pipelines for automated testing and deployment.
- The ability to create efficient data pipelines and manage large datasets.
- Good understanding of data architecture such as Lakehouse and Medallion.
- Experience working with real-time data and batch processes.
- Good understanding of data architecture such as Lakehouse and Medallion.
- The ability to create efficient data pipelines and manage large datasets.
- Proficiency in version control with Git and experienced in implementing CI/CD pipelines for automated testing and deployment.
- Experience working with tooling such as SQL, Python, and Spark. If you have done it in Databricks, it would be considered a bonus.
- Strong expertise in data structures, data processing, and data modelling techniques.
- Experience working with Cloud and tools surrounding the data domain. We mainly utilize Azure, but other cloud offerings are meritorious as well.
We're committed to diversity and inclusion and welcome applicants with relevant experience and skills.
How to Apply
Please submit your application through our careers channel. We look forward to hearing from you.
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