Job ID: 2812348 | Amazon Web Services, Inc.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers including the public sector. The AWS Global Services team interacts with leading companies and believes that world-class support is critical to customer success. Additionally, we partner with a global list of customers that are building mission-critical applications on top of AWS services.
Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? Enterprise Support is hiring!
We are looking for a Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will experience a wide range of problem-solving situations requiring extensive use of data collection and analysis.
Key job responsibilities
The successful candidate will work in lock-step with BI Engineers, Software Development Engineers, Data scientists, Program Managers, and other stakeholders across the organization. You will:
- Develop and improve the current data architecture, data quality, monitoring, and data availability.
- Design, implement, and operate large-scale, high-volume, high-performance data structures for analytics and data science.
- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
- Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing, and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience in Data Engineering roles within a large technology company
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit here .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit here .
Posted: October 26, 2024 (Updated about 18 hours ago)
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