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Amazon.com Services Inc Sr. Data ML Engineer in Detroit, Michigan

At Amazon Web Services (AWS), we're hiring highly technical Data and Machine Learning engineers to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, Data and Analytics, HPC and more.brIn this role, you will work with our partners, customers and focus on our AWS offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon SageMaker and more. You will help our customers and partners to remove the constraints that prevent them from leveraging their data to develop business insights.brbrAWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.brbrYou will also have the opportunity to create white papers, writing blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work closely with our Solution Architects, Data Scientists and Service Engineering teams.brbrThe ideal candidate will have extensive experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties.brbrThis is a customer facing role. You will be required to travel to client locations and deliver professional services when needed.brbr* Bachelor's degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experiencebr* 8+ years of experience of Data platform implementationbr* 3+ years of hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar implementationsbr* Hands on experience with building data or machine learning pipelinebr* Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)br* Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc)br* Current experience with hands-on implementationbrimg src='https://ad.doubleclick.net/ddm/clk/437411273;294035986;n?https://www.amazon.jobs/?cmpid=OAAAOT7345Butm\_source=circaworks.comutm\_campaign=cxroutm\_medium=niche\_siteutm\_content=job\_postingutm\_term=294035986ss=paid' width='1' height='1' /BR/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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