Data Engineer

Job summary

Do you want to be in the forefront of engineering big data solutions that takes Transportation models to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need? We are looking for top notch Data Engineers to be part of our world class Transportation Business Intelligence team. We are building real time analytical platforms using big data tools and AWS technologies like Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams.


The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. He/she is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. It's a big ask, and we're excited to talk to those up to the challenge!

Key Responsibilities:

• Contribute to the design and implementation of next generation data engineering solutions focused on long-term scalability and low-cost maintenance
• Manage and administer data platform built on AWS services such as EC2, RDS, Redshift, Kinesis, EMR, Lambda etc
• Implement automated and continuous data quality monitoring mechanisms
• Improve tools, processes, scale existing solutions, create new solutions as required to meet business needs and growth
• Collaborate with business leaders, other data engineers and technical architects to deliver high-quality and highly-performant data pipelines

Basic Qualifications

Degree in Computer Science, Engineering, Mathematics, or a related field and 2+ years industry experience
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Proficiency with at least one Object Oriented language (e.g. Java, Python, Ruby)
Highly proficient in SQL and knowledgeable about Data Warehousing concepts and best practices.
Working knowledge of software development lifecycle methodologies like Agile
Able to work in a diverse team

Preferred Qualifications

• Strong customer focus, ownership, urgency and drive
• Excellent communication skills and the ability to work well in a team.
• Effective analytical, troubleshooting and problem-solving skills.
• Graduate degree in Computer Science, Engineering or related technical field
• Experience with AWS Tools and Technologies (EC2, RDS, Redshift, Kinesis, EMR, Lambda, etc..)
• Expertise in Data Modeling, Advanced SQL and Columnar Databases
• Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing

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

We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief



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.