Job Location: Weston, FL
Equal Opportunity Employer/Disability/VET
Location: Remote Office
SUMMARY:
Join the DHL eCommerce Data Engineering Team and be part of a very successful growing company. As Azure Data Engineer, you will be working with competent Data Engineers, Cloud Engineers, DevOps Engineers, Data Scientists and Architects to learn from and to share your experiences in a technologically diverse environment. You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud platform.
WHAT YOU’LL DO
DHL eCommerce has set up a global big data architecture as part of our digitalization initiative. In this context, we are looking for an aspiring Cloud Data Engineer to join our growing team of data experts. You will be responsible for expanding and optimizing our Azure Data Lake, as well as optimizing the data flow and collection for cross-functional teams. Preferably, if you are interested in and have already some experiences in building data pipelines as well as processing (transforming, aggregating, wrangling) data. You will be involved in optimizing data systems and building them from the ground up. In your role, you will work with our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure that the optimal data delivery is consistent throughout ongoing projects. It is mandatory that you work self-directed and are comfortable supporting the data needs of multiple teams, systems, and products. You are the right candidate to join our team if you are excited by the prospect of participating in optimizing and sometimes even re-designing our company’s data architecture to support our next generation of products and data initiatives. In addition to the development of data solutions, you are accountable for the customer’s Azure support experience driving resolution of complex critical problems from problem identification to full resolution, you will own and manage the customer/user experience and supporting key customer projects on Azure. Your day-to-day job will be about providing both technical expertise and about being an excellent communicator and a service oriented professional. You will debug, troubleshoot, correct code, and help resolve business user’s issues.
REQUIREMENTS/SKILLS:
- 2-4 years of experience working in a cloud data engineer role.
- Practical experience in Python and at least 1 of the following programming languages: Scala, Java, Kotlin, Go, Rust, C#, F#, C, C++.
- Experience building data ingestion pipelines for a cloud, with data consumable by business intelligence solutions (e. g. PowerBI) and/or data scientists.
- Familiarity with the Azure cloud ecosystem, specifically with data intensive components like Azure Synapse, CosmosDB, Data Factory, Databricks.
- Robust knowledge of cloud storage aspects (ADLS gen2)
- Expertise in cloud security aspects
- Routine command of observability approaches for the clouds: logging, monitoring, tracing.
EDUCATION AND WORK EXPERIENCE:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics
- 2 to 4 years of professional experience with Data Management technologies and a minimum of 2 years Azure Data Factory, Azure Synapse (DWH), Azure SQL Database, Azure Data Bricks, Spark, and Data Explorer.
- 2 to 4 years of designing Big Data Pipelines supporting Data Science Use Cases.
- 6+ years of experience of IT platform implementation in a highly technical and analytical role.
PHYSICAL DEMANDS:
- Physical demands are consistent with a professional office setting.
- Regular sitting at workstation for 25 – 75% of the work shift.
- Frequent standing and walking.
- Travel (Rare, 5%)
PI192873562
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