Data Engineer – Stay At Home Jobs

Job Type: Data Engineer from home
Location: Georgia work from home
Company: Xero 

Position Description:

Millions of consumers all across the world will be able to use smart, data-driven, personalized services thanks to Xero thanks to the work of the data team, which designs and develops the data assets, pipelines, and apps. As a data engineer, you will create robust, adaptable, and efficient data pipelines as well as huge and complicated data sets. For the benefit of the ecosystem’s users, you will design, manage, and run the data pipelines and data enrichment operations on a range of data platform(s) in a trustworthy and secure manner.

How you’ll act

• Building data pipelines for the use of analytical data, data modeling, data integration, and the application of Extract/Transform/Load (ETL) procedures are examples of typical tasks.
• Create and disseminate standardized data sets that the analyst community may utilize to respond to business inquiries.
• Utilizing a variety of data sources and tools, create, execute, and maintain data enrichment pipelines.
• By analyzing data and helping to comprehend its significance, you can support data quality and data validation. This will help to promote ongoing improvements to data quality protocols and a uniform approach to how data quality is measured, monitored, and reported.
• Work cooperatively with the other Data team members. Take part in routine scrums and collaborate with others to make sure data is available.
• Work on the incidents, service requests, upgrades/changes, and audits backlog
• help the team onboard new product and engineering teams for applications
• Keep abreast on new developments in the fields of data engineering and data enrichment.
• Make sure the implementation level incorporates Data Governance standards.
• Understand the sorts of data collected in various apps, databases, and domains by working with the product and technology teams.
• contribution to the ideas and standards of data enrichment.
• Rich data that is planned and made accessible to users in a timely, secure, and trustworthy manner
• As a result of data enrichment techniques, data availability, timeliness, and quality continue to improve.
• The ability to create high-quality solutions is enabled by a demonstrated understanding of the business and technical needs.

What you’re bringing

• a solid grasp of the fundamentals, structures, principles, and practices of data modelling and data integration as well as agile methodologies
• Excellent time management skills, including the capacity to multitask, prioritize, and meet deadlines. Highly motivated and pro-active personality; always seeking for ways to improve.
• Self-sufficient and conscientious
• Has experience engaging with business owners and product owners to gather data requirements and offer solutions. Is detail-oriented and solution-focused.
• Strong practical knowledge of engineering data for data analytics Knowledge of at least one software engineering technology
• Technical documentation should be communicated in a clear, succinct manner both orally and in writing.
• Practitioner-level expertise in data management and large-scale data integration
• extensive knowledge of database queries and ETL procedures, including their analysis, design, and development
• knowledge of databases and cloud technologies
• Understanding the data needs for ML and AI use cases is advantageous.