Data Engineer II, ShipTech
Data Engineer II, ShipTech
Posted on :
01-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
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. Its a big ask and were excited to talk to those up to the challenge!
- 4 to 7 years of performing quantitative analysis preferably for an Internet with large complex data sources.
- Hands-on experience on Big data technologies and frameworks. Hive Spark Hadoop SQL on Big Data Redshift
- Experience in near real time analytics
- Experience with scripting languages i.e. Python Perl etc.
- Experience with ETL Data Modeling and working with large-scale datasets. Extremely proficient in writing performant SQL working with large data volumes
- Ability to manage competing priorities simultaneously and drive projects to completion.
- Bachelors degree or higher in a quantitative/technical field (e.g. Computer Science Statistics Engineering).
- Experience with large scale data processing data structure optimization and scalability of algorithms a plus
- 3 years of data engineering experience
- Experience with SQL
- Experience with data modeling warehousing and building ETL pipelines
- 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)
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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. Its a big ask and were excited to talk to those up to the challenge!
- 4 to 7 years of performing quantitative analysis preferably for an Internet with large complex data sources.
- Hands-on experience on Big data technologies and frameworks. Hive Spark Hadoop SQL on Big Data Redshift
- Experience in near real time analytics
- Experience with scripting languages i.e. Python Perl etc.
- Experience with ETL Data Modeling and working with large-scale datasets. Extremely proficient in writing performant SQL working with large data volumes
- Ability to manage competing priorities simultaneously and drive projects to completion.
- Bachelors degree or higher in a quantitative/technical field (e.g. Computer Science Statistics Engineering).
- Experience with large scale data processing data structure optimization and scalability of algorithms a plus
- 3 years of data engineering experience
- Experience with SQL
- Experience with data modeling warehousing and building ETL pipelines
- 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)
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
