Data Engineer, DSP Analytics

3 weeks ago

Cape Town, Western Cape, South Africa Amazon Full time

Job ID: 2778712 | Amazon.com Services LLC

Amazon Last Mile DSP is seeking an extraordinary Data Engineer to join the DSP Analytics team.

At Amazon, we are working to be the most customer-centric company on earth -- including how we fulfill and deliver customer orders. The goal of Amazon's Service Partner (DSP) Team is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class experience through the introduction of pioneering new products and services in the last mile space.

This person will play a key role in providing the end-to-end engineering solutions to support key business initiatives related to safety of drivers. If you are passionate about technologies, strongly biased to go deep to find insights and build scalable real time analytical platform, relentless in ensuring quality and reliability, and feel comfortable communicating with different levels of leadership, you are the candidate we are looking for

You should have deep expertise in creating, managing, and utilizing large and small datasets across a variety of data platforms. You should have excellent business and interpersonal skills to work with business owners, understand their data requirements, and build scalable and robust data solutions. You should be an expert at crafting, implementing, and operating stable, scalable, and cost-effective solutions to manage data flow from multiple production systems. Above all, you should be passionate about working with data and enjoy bringing varied datasets together to answer business questions and drive growth.

You will develop new engineering patterns that leverage new cloud architectures, and will extend or migrate existing data pipelines to these architectures as needed. You will be responsible for designing and implementing complex data pipelines in Amazon's platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver data-driven insights that will have an immediate impact on day-to-day decision-making at Amazon.

BASIC QUALIFICATIONS

- 3+ years of data engineering experience
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Redshift, Oracle, NoSQL etc.

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)

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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 this link. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

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