Position: Middle Data Engineer
Company: SD Solutions
Category: Data Engineer
Experience required: 3y
English level: intermediate
Published: 2022-03-01T00:00:00+02:00

We are looking for a Data Engineer (AWS Data Platform) to join our busy and dynamic business intelligence – data platform team based in our Leeds office.

**ARE YOU OUR NEXT STAR PLAYER?**

If you are a passionate Data Engineer you have the chance to be part of a team that looks to build out our next-generation data platform, leveraging new technologies and techniques to maximize the business value out of our data assets and empower innovation.

You should be an expert at designing, implementing, and operating stable, scalable, low-cost solutions to ETL data from production systems into the data platform. We are looking for a passion for working with vast data sets and someone who loves to bring datasets together to answer business questions and drive growth.

**WHY WE NEED YOU?**

Transform raw data into useful data systems.
Overall, you’ll strive for efficiency by aligning data systems with business goals.
Contribute to choosing the right technology and ensuring proper data design and implementation in various projects and solutions.
Demonstrate hands-on skills in processing large data sets, expertise in data structure, data access patterns, Big Data concepts, and cloud computing.
Work with Data Product Owners to understand data requirements, and to build ETL processes.
**Who we’re looking for:**

4+ years’ experience in designing and implementing efficient ETL processes and data pipelines
Expert-level skills in writing and optimizing SQL
Skilled in development, deployment and operation of data technologies and platforms
Proven experience in designing scalable data warehousing solutions
Familiar with Agile software development and DevOps practices
Knowledge of SQL and NoSQL databases.
Data pipeline and workflow management tools experience.
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Proven ability to collaborate with technical and business teams and communicate effectively across channels
Deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms.