Data Engineer

US, TX, Virtual Location - Texas

Full Time
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Posted 1 month ago

Does the prospect of dealing with massive volumes of data excite you? Do you want to lead a team in building data engineering solutions that process billions of records a day in a scalable fashion using AWS technologies? Do you want to create the next-generation tools for intuitive data access? Amazon's Finance Tech team needs a Data Engineering Manager to lead a team of Data Engineers.

You will be part of a team in building large-scale near real time data ingestion, calculation engine, and a business facing analytical tool for tax teams across the globe for Amazon. This person will work across other Amazon engineering teams and business teams in planning, designing, executing and implementing this analytical platform. Primary responsibilities will include managing a team of data engineers, interviewing, training and building a strong team, ongoing development of standard operating procedures and accountability for setting and meeting team goals.

Architect highly efficient data and reporting structures, making a tradeoff between scalability, performance and user functionality needs, using expert knowledge in software development technologies. Develop long term domain/technology strategies and significantly influence the process and engineering standards in the team. Lead design reviews and offer feedback on design, integration, performance and scalability issues. Serve as an authority in the area of technical and domain expertise and mentor, develop, and train the engineers.

An ideal candidate for this role will have prior experience in multiple customer-facing teams, lot of experience in heterogeneous technologies in DW space (map/reduce, columnar DBs etc.,) and will be capable of technical deep-dives yet verbally and cognitively agile enough to participate in strategy discussions with Amazon's senior management team. You will be accountable for driving the entire product life-cycle, from platform product definition through specification, coding, quality assurance and launch to the world.

Basic Qualifications


· 1+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelors or Masters degree in computer science, MIS, or a related field.
· 5+ years of experience leading teams.
· 10+ years of relevant experience in the data engineering and BI.
· Strong technical and analytical aptitude; Excellent oral and written communication skills.
· Understanding of scaling, performance and scheduling.
· Should have a good grasp of SQL and Big Data Technologies.

Preferred Qualifications

· A desire to work in a fast paced dynamic environment.
· Exposure to very large databases, knowledge in OLAP, and BI tools.
· Understanding of Big Data technologies and solutions in AWS.
· Background in financial applications
· Experience prioritizing competing demands, scoping large efforts and negotiating timelines
· Machine Learning and Predictive Analytics

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.



Job tags: AWS Big Data Data Warehousing Engineering ETL Finance Machine Learning SQL