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This role requires deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.As a Data Engineer, you will envision, design and develop data solutions to improve the GR business. You will be responsible for designing and implementing scalable data/ETL pipelines leveraging big data technologies and modern BI products to effectively meet the rapidly growing and dynamic demands of rich data. You will help org move towards data as a service model to improve influence on day-to-day business decisions. You will influence and guide other data engineers, business intelligence engineers, tech team members and leaders to make informed data decisions.Key job responsibilities- Improve existing solutions and come up with next generation GR Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.
- Develop new data models and end to end data pipelines.
A day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree
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