Data Engineer

Are you passionate about provide data driven solutions to solve a variety of problems within organization? Do you have a solid background in data modelling, analysis, statistics, and communication? Do you enjoy a fast-paced environment? If you answered yes to these questions and are interested in a career within marketing, Private Brands fashion team is a great place for you!

We’re very interested in candidates with a strong business intelligence background and a keen interest in designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. Successful candidates will have a proven track record of rapidly solving problems with data, is highly analytical and possess a strong passion for developing insights. You should be passionate about working with data, be driven to dive deep, and be passionate in socializing business impacts to guide the broader organization. A self-starter with keen attention to detail, ability to work in a fast-paced environment and good track record of influencing decisions. This role also has regular interaction with various business units across Amazon and requires exceptional interpersonal skills and excellent business acumen.

Key Responsibilities Include:

• Building and migrating the complex ETL pipelines into Redshift cluster


• Optimizing the performance of business-critical queries and dealing with ETL job-related issues


• Gather and understand data requirements, work in the team to achieve high quality data ingestion and build systems that can process the data, transform the data


• Designing, implementing and supporting a platform that can provide ad-hoc access to large data-sets


• Modeling data and metadata to support ad-hoc and pre-built reporting


• Earn the trust of your customers by continuing to constantly obsess over their needs and helping them solve their problems by leveraging technology


• Manage business critical initiatives to enforce standard work and reduce waste

Basic qualifications  

• Degree in Computer Science, Engineering, Mathematics, or a related field and 5+ years industry experience
• Experience in data modeling, ETL development, and data warehousing
• Data Warehousing Experience with Oracle, Redshift, Teradata, etc.
• Experience in Python and/or other data ingestion languages and tools.
• 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.

  Preferred qualifications  

• Graduate degree in Computer Science, Engineering or related technical field.
• Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Experience building data products incrementally and integrating and managing datasets from multiple sources.
• Experience with AWS Tools and Technologies (S3, EC2, Data Pipeline etc.).
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space.

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.