Experienced Full Stack Data Engineer – Forecasting Core Data Engineering with Amazon and Continuum Global Solutions
Join the Amazon Estimating Team as a Data Engineer and Revolutionize Demand Forecasting
We are excited to announce an exceptional job opportunity for a highly skilled Data Engineer to join the Amazon Estimating team, a pioneering group in the field of demand forecasting and analysis. As a Data Engineer, you will play a crucial role in designing and building scalable data pipelines to ingest data from various sources, providing large datasets for AI models to predict Amazon's demand worldwide. If you're passionate about using technology to predict the future and tackle complex technical challenges, this is the ideal team for you.
About Amazon and Continuum Global Solutions
Amazon is a world-renowned leader in e-commerce, cloud computing, and artificial intelligence. Continuum Global Solutions is a trusted partner of Amazon, providing innovative recruitment solutions to attract top talent. Our team is dedicated to fostering a diverse and inclusive work environment, valuing individuals with unique backgrounds, experiences, and skill sets.
Job Summary
As a Data Engineer in the Forecasting Core Data Engineering team, you will be responsible for designing, building, and maintaining large-scale data pipelines to support AI models and data analysis. You will work closely with a team of software development engineers, product managers, data scientists, and business intelligence analysts to create a data infrastructure that drives business growth. Your expertise in data engineering, SQL, and scripting languages will be essential in solving complex problems and driving innovation.
Key Responsibilities
- Design and develop scalable data solutions using AWS and Amazon internal tools.
- Build and maintain business logic for data transformation and ingestion pipelines.
- Create and maintain datasets in Amazon data lake and internal data management systems using S3/Glue.
- Perform data analysis and investigation to understand the impact of changes on downstream clients' use cases and construct change logic to ingest data for demand forecasting.
- Provide high-quality data to Amazon demand team data customers.
Essential Qualifications
- Bachelor's degree or Graduate degree in Computer Science, Engineering, or related field.
- 2+ years of experience in data engineering, with a strong background in data modeling, warehousing, and ETL pipelines.
- Proficiency in SQL and scripting languages, such as Python or Java.
- Experience with large-scale data processing platforms, such as AWS EMR, Redshift, or S3.
Preferred Qualifications
- Experience with AWS technologies, such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Familiarity with non-relational databases and data stores, such as object storage, document or key-value stores, graph databases, and column-family databases.
- 3+ years of experience in data engineering, with a strong track record of designing and implementing large-scale data pipelines.
A Day in the Life
As a Data Engineer in the Forecasting Core Data Engineering team, you will work closely with data scientists, business intelligence analysts, and product managers to design and implement data pipelines that support AI models and data analysis. Your day will involve:
- Collaborating with stakeholders to understand data requirements and design data pipelines to meet those needs.
- Building and maintaining large-scale data pipelines using AWS and Amazon internal tools.
- Performing data analysis and investigation to understand the impact of changes on downstream clients' use cases.
- Providing high-quality data to Amazon demand team data customers.
Career Growth Opportunities and Learning Benefits
At Amazon, we are committed to providing our employees with opportunities for growth and development. As a Data Engineer, you will have access to:
- Training and development programs to enhance your skills and knowledge.
- Opportunities to work on high-impact projects and contribute to the development of innovative solutions.
- Collaborative work environment with a team of experienced professionals.
- Flexible work arrangements, including remote work options.
Work Environment and Company Culture
At Amazon, we value a diverse and inclusive work environment that fosters creativity, innovation, and collaboration. Our company culture is built on the principles of:
- Customer obsession: We are committed to delivering exceptional customer experiences.
- Ownership: We take ownership of our actions and decisions.
- Invent and simplify: We innovate and simplify processes to drive efficiency and effectiveness.
- Are right, a lot: We make informed decisions and take calculated risks.
- Learn and be curious: We are committed to learning and growth.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:
- Salary range: $70,000 - $80,000 per year.
- Comprehensive benefits package, including medical, dental, and vision insurance.
- Retirement savings plan and employee stock purchase plan.
- Flexible work arrangements, including remote work options.
- Opportunities for professional growth and development.
How to Apply
If you are a motivated and experienced Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. To apply, please:
- Read the official notification carefully from the official website.
- Fill out the application form and attach the required documents, including your resume and a cover letter.
- Submit your application through the provided link.