.. to globally aligned and sustainable IT solutions Carry out complex or novel assignments requiring the development of new or improved procedures Considers and seeks detailed knowledge of industry best practices Manage or participate in new IT implementations (for example M&As, divestures, new SAP modules .. read more
About Hexagon
Hexagon is a global leader in sensor, software and autonomous solutions. We are putting data to work to boost efficiency, productivity, and quality across industrial, manufacturing, infrastructure, safety, and mobility applications. Our technologies are shaping urban and production ecosystems to become increasingly connected and autonomous – ensuring a scalable, sustainable future.
Hexagon’s ALI division empowers its clients to transform unstructured information into a smart digital asset to visualize, build, and manage structures and facilities of all complexities, ensuring safe and efficient operation throughout the entire lifecycle.
Hexagon (Nasdaq Stockholm:
HEXA B) has approximately 21,000 employees in 50 countries and net sales of approximately 3.8bn EUR. Learn more at hexagon.Com and follow us @HexagonAB.
© 2021 Hexagon AB and/or its subsidiaries and affiliates. All rights reserved.
Description
Hexagon ALI is looking for a Data Engineer that will be responsible for the development, customization, and support of the Data Sourcing Solutions to facilitate internal Strategic Intelligence Data & Analytics. This solution will impact business performance improvements in the areas of product development and sales as well as other business functions. Responsibilities may include designing, developing, optimizing, and testing small to large-scale data transformation processes into our data warehouse using a modern technology stack such as SQL Server, Python, Kofax RPA, Microsoft Azure and Snowflake.
Under direct supervision, the individual will contribute to the development of automated Data Pipelines using the modern technology stack tools primarily on the Microsoft Azure platform including Snowflake. The individual will be responsible for extracting information from our Data Lake as well as various other cloud business systems such as Salesforce and combining disparate data sources into complex datasets that meet business needs. The individual will be expected to develop infrastructure that provides high-quality, structured data for use in data exploration and analysis.
The individual will work in a fully remote small team environment using LEAN Agile processes and XP development techniques and should be able to use best practices in software engineering, data modeling, data architecture, and ETL processes to provide quality data and analytics to end users.
Qualifications
Candidate should have a Master’s/MBA degree (Computer Science, Mathematics, Data Analytics or another related field) or 5 plus years of experience in related field with a Bachelor’s Degree.
- Experience using Excel (Pivot tables, VLOOKUP, etc…)
- Experience using Python
- Experience using SQL and knowledge of data warehousing technical architectures
- Experience with a source control management solution (Git, Subversion, etc.)
- Experience with build automation and automated testing
- Originality, ingenuity, independent judgment and a reasonable degree of self-direction and decision-making
Preferred qualifications:
- Experience or using Kofax RPA
- Experience with Microsoft Azure
- Experience with Snowflake and SnowSQL
- Knowledge around best practices of data modeling, data architecture, and ETL processes
- Knowledge of RPA (Robotic Process Automation)
