Senior Data Engineer
at Flywheel Digital
Berlin, Berlin, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 27 Sep, 2024 | Not Specified | 27 Jun, 2024 | 4 year(s) or above | Good communication skills | No | No |
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Description:
ABOUT FLYWHEEL
Flywheel’s suite of digital commerce solutions accelerate growth across all major digital marketplaces for the world’s leading brands. We give clients access to near real-time performance measurement and improve sales, share, and profit. With teams across the Americas, Europe and APAC, we offer a career with real impact, endless growth opportunities and the support you need to be the best you can be.
OPPORTUNITY
We’re looking for a Mid/Senior Data Engineer to join our team. The best candidates will hit the ground running and contribute to our data team as we develop and maintain necessary data automation, reports, ETL/ELT, and quality controls using leading-edge cloud technologies.
You will have a deep knowledge and understanding of all stages in the software development life cycle. The ability to self-start, mentor and manage less experienced data engineers, desire to learn new technology, manage multiple priorities, and strong communication are all in your wheelhouse!
THE INTERVIEW PROCESS:
Every role starts the same, an introductory call with someone from our Talent Acquisition team. We will be looking for company and values-fit as well as your professional experience; there may be some technical role-specific questions during this call.
Every role is different after the initial call, but you can expect to meet several people from the team 1:1 and there might be further skill assessments in the form of a Take Home Assignment/Case Study Presentation or Pair Programming/Live Coding exercise depending on the role. In your initial call, we will walk you through exactly what to expect the process to be.
How To Apply:
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Responsibilities:
- Write high-level, well-documented code in Python and SQL
- Work with multiple TBs of data per day
- Build data pipelines that range from simple to complex, using technologies like Apache Airflow, Apache Spark and various AWS Services
- Build ETL pipelines with Databrics, Snowflake, AWS Glue, pyspark and other ETL tools
- Work with a mix of structured and unstructured data across cloud-based batch and streaming architectures
- Engage directly with technical analysts, project managers, and other technical teams to help build concise requirements and ensure timely completion of projects
- Work with Git, CI/CD, and version control to maintain code and documentation
- Design and vet solutions for technical problems, and solicit team feedback during the design process · Mentor, manage, train, and participate in paired programming in a lead capacity
REQUIREMENT SUMMARY
Min:4.0Max:9.0 year(s)
Information Technology/IT
IT Software - System Programming
Software Engineering
Graduate
Proficient
1
Berlin, Germany