Senior Data Platform Engineer (all genders) - Data Lake Platform

Meyandy LLC; Germany (OH); On-site; USD 104,000 - 173,000; Full time

Job summary

MOIA is seeking a Senior Data Platform Engineer to join the Data Platform team and help shape the future of autonomous mobility. You will work at the core of MOIA's data engine and collaborate with colleagues from multiple teams to enable data-driven decisions with secure, scalable infrastructure.

You will enable teams to extract value from data using internal tools, set up SageMaker Unified Studio, and own the operational aspects of our AWS-based platform.

Responsibilities

• Enable teams across the company to get value from data using our internal tools and platform.
• Set up and govern Amazon SageMaker Unified Studio (SMUS) for other teams.
• Keep our AWS data infrastructure available, scalable, and secure, and own the operational side of what you build.
• Build and optimize event-driven ingestion pipelines with Amazon Kinesis, Data Firehose and AWS Lambda.

Job description

Join us as a Senior Data Platform Engineer (all genders) in our Data Lake Platformteam and help shape the future of autonomous mobility!

The Data Platform team ensures that all data generated at MOIA can be accessed and processed in our data platform. We rely on a wide variety of AWS services to build our data products and keep our stack as serverless as possible. You will work at the core of MOIAs data engine room and interact with colleagues from 10+ different Teams. We provide automation, tools, operate services and evangelize best practices so that data at MOIA is processed in an efficient, secure and privacy compliant way. We strive towards enabling our users to work as independently and self-sufficiently as possible.

What you will do

• Enable teams across the company to get value from data using our internal tools and platform. You'll work with engineers, analysts, and stakeholders across. You'll work with engineers, analysts, and stakeholders across different tech stacks and business domains - for a platform team. Communicating well is as important as the code we write.
• Set up and govern Amazon SageMaker Unified Studio (SMUS) for other teams, so they can work independently without us becoming a bottleneck.
• Keep our AWS data infrastructure available, scalable, and secure, and own the operational side of what you build.
• Build andoptimizeevent-driven ingestion pipelines with Amazon Kinesis, Amazon Data Firehose and AWS Lambda.