As a Data Engineer lead, you will be working in one of the world's largest and most complex data Lake and warehouse environments. You will design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. This will be a great fit if you get excited by partnering with key stakeholders to dig deep into the business challenges to understand and identify insights that will enable us to meet associate needs at a globally scale. You need excellent analytical abilities as well as business acumen and an ability to tie together from across Amazon to help enable effective decision making. An ability to communicate insight to the business via development and implementation of ongoing and subject-specific reporting artifacts is a critical skill in this role.
Key job responsibilities
- Work closely with offsite data engineers & Business Intelligence Engineer to deliver the projects on time.
- Clarify the requirements and guide the offsite team with all the technical details.
- Interface with technology teams to extract, transform, and load data from a wide variety of data sources using SQL/python and AWS big data technologies.
- Designing and implementing complex ETL pipelines and other BI solutions.
Basic Qualification
- 3+ years of data engineering experience
- Leading teams, gathering requirements
- Experience with data modeling, warehousing, and building ETL pipelines.
Knowledge of distributed systems as it pertains to data storage and computing
