DESCRIPTION
Operations Technology Solutions (OTS) Data Team is looking for an experienced Data Engineer to join our team. This position will be responsible for assisting in creating our DataMarketplace for data management systems to support our Data as a Product strategy. The data engineer is expected to translate business strategies and requirements into world-class technical solutions, applications, and process designs. The role also requires the data engineer to help develop, optimize, and oversee OTS’s conceptual and logical data systems including all aspects related to development, infrastructure, data, and configuration management perspectives, preparing architect reports, monitoring the system, and supervising system migrations.
As a Data Engineer, you should be experienced in the architecture of DW / DL solutions for the Enterprise using multiple platforms. You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the Data Lake and Data Mesh platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making.
Key job responsibilities
• Supporting development of AWS Data orchestration layer through CDK built on AWS EMR, utilizing Airflow, working across cross functional teams.
• Provide technical oversight and recommendations on data infrastructure
• Participate in and lead discovery sessions with primary business stakeholders to understand their data needs and support in development of their data asset needs.
• Support solution delivery by providing insights to the application development teams and project managers that plan and execute delivery activities
• Support success for the quality of the implemented solution and its adherence to technology strategies, standards, and best practices
• Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented
• Assist in the identification and recommendation of appropriate solutions, upgrades, replacements, or decommissioning options incorporating business and technology productivity, usability, and total cost of ownership
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
OpsTech Solutions DataTech team is based out of Austin and Nashville. We are composed of Data Engineers, BI Engineers, and Data Science aimed at further enabling broader OTS deliverables. We strive to partner with our customers and collaborate to enable our Data as a Product Strategy providing the thousands of customers with business driven insights and capabilities.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA
BASIC QUALIFICATIONS
- Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or related field.
- 3+ years demonstrated experience in the design and implementation of modern data architectures to support large scale data solutions
- In-depth knowledge of data patterns to support architectures and data management concepts/processes including ETL/ELT, Data Mesh, date lake, data lakehouse, data warehouse, data streaming, data virtualization, etc
- Strong understanding of data modeling (dimensional, data vault, etc.) principles and techniques based on established methodologies
- Strong knowledge of ETL tools such as Informatica, Airflow, etc. as well as standards and best practices for ETL development frameworks
- Strong knowledge of data governance framework principles and vendor platforms
- Experience with data manipulation and visualization tools such as Tableau, QuickSight, etc
- Strong knowledge of Python and SQL and demonstrated ability to apply to a wide variety of business requirements
- Strong knowledge in data warehousing concepts and data platforms and architecture
- Experience in building data through Code (CDK).
- Knowledge of MDM concepts and solutions
- Demonstrated experience deploying data solutions in Big Data platforms
- Strong analytical and decision-making skills
- Experience working within multidisciplinary, distributed, and collaborative environments
PREFERRED QUALIFICATIONS
- MBA, MS, or MA in in Information Technology, Software Engineering, Computer Science, or related field
- Related professional certifications and/or training is considered an asset
- Exceptional creative reasoning and design skills to accomplish their duties and projects efficiently
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 https://www.amazon.jobs/en/disability/us.
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