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We are seeking an experienced Data Engineering Leader to join our team at Atexo. As a key member of our Data Business Unit, you will be responsible for designing and developing our data platform, spearheading the rapid buildout and delivery of data products and services.
Key Responsibilities- Design and build a best-in-class robust scalable data platform that can ingest, store, manage and stream massive amounts of data from Connected Vehicles while simplifying its analysis and processing to enable rapid development of high-quality data products and services.
- Thorough understanding of data design patterns to define and own data engineering design guidelines, data engineering operating excellence guidelines, data engineering security guidelines and privacy guidelines.
- Design framework to automate with all necessary preventative and detective controls for ensuring high availability of data, timely availability of data, data correctness, privacy, security in all data pipelines at every step of data movement through the platform.
- In partnership with the data science and analytics team design and optimize data pipelines to support descriptive analytics, data science, and ML.
- Collaborate with UX and software engineering teams to ensure easy discovery and licensing of data as well as a low-latency delivery of and high-uptime access to the data products and services.
- Implement a data governance policy for data management of partner/3rd party data to ensure data privacy compliance with GDPR and CCPA.
- Partner with software engineering teams in designing data request/delivery APIs and the creation of a standardized metering and instrumentation approach for all data products.
- Design and implement an experimentation platform for the agile, but secure, testing of data products and services.
- Build and mentor a world class team of data engineers, expanding the impact and reach of data at Atexo.
- 10+ years of industry software engineering experience building Data as a Service Best-in-Class Cloud native Data platform using advanced Big Data technologies.
- Proven track record of having shipped successful software products & services.
- 5 or more years of hands-on experience and deep expertise in architecting and building data products/platforms using popular public cloud platforms (AWS, Azure, GC).
- 5+ years' experience in implementing streaming data and batch data platforms using but not limited to technologies like Spark, Flink, Kinesis, AWS Lambda, Kafka, EMR/EKS platform, Lakehouse platform.
- Strong experience in designing and practicing DevSecOps in data pipelines.
- Experience in implementing data security and monitoring them with preventive and detective controls.
- Experience in writing and optimizing SQL queries using AWS analytic stack.
- Experience in implementing application processing large-scale Geo-spatial data is a plus.
- Exemplifies multidimensional skill sets – data engineering, experimentation, software development, etc.
- Familiarity with modern data science and product analytics tools and techniques.
- Being a renowned champion for best practices within the analytics, data, and engineering teams.
English (C1 - Courant (3,5 - 4,4 Bright))
