Data Engineer
hace 4 semanas
At Landis+Gyr, we're a leading global provider of integrated energy management solutions, driving innovation in energy innovation for over a century. Our pioneering spirit has led us to develop a portfolio of software, services, and intelligent sensor technology that's key to decarbonizing the grid.
With sales of USD 1.7 billion in FY 2022, we employ over 7,000 talented individuals across 30 countries and five continents. Our commitment to sustainability and efficiency has guided us toward creating a more empowered energy landscape.
We're seeking a strong, self-driven developer with excellent people skills to join our Global Technology Office. As a highly motivated Data Engineer with experience in cloud and engineering platform solutions, preferably Google Cloud Platform, you'll apply the latest data engineering techniques to help our utility clients unlock the potential of big data and artificial intelligence.
In partnership with multiple stakeholders, you'll focus on designing and delivering leading-edge data analytics solutions using Google Cloud and collaborating with our engineering practice. You'll work in a high-performing international environment and influence the overall analytics strategy within a cloud-native development approach.
Key Responsibilities:
- Act as a subject matter expert in data engineering and Google Cloud data technologies.
- Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from Google Cloud.
- Collaborate with Agile and DevOps techniques and implementation approaches in delivery.
- Communicate data engineering experience to clients, turning their requirements into technical data solutions.
- Build and deliver data solutions using Google Cloud products and offerings.
- Liaise with our Google Cloud practice, contributing to the knowledge exchange learning program of the platform.
About You:
- Hands-on deep experience working with Google Data Products.
- Experience in MDM, Metadata Management, Data Quality, and Data Lineage tools.
- E2E Data Engineering and Lifecycle management.
- E2E Solution Design skills, including prototyping, usability testing, and data visualization literacy.
We offer an exciting opportunity in an international and innovative environment at an industry-leading company. You'll have a robust track record of delivering advanced analytics on Google Cloud Platform within cross-functional matrix environments.
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