Data Engineer, Cross Border Science and Analytics
Amazon · Bengaluru, Karnataka, India
- On site
- Full-time
- $120,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Build and scale data foundations for AI.
- Design robust, scalable data pipelines and platforms.
- Work with modern data architectures.
- Collaborate with scientists and analysts.
- Focus on data quality and automation.
About the role
Data Engineer, Cross Border Science and Analytics
We are looking for a Data Engineer to help build and scale the data foundation powering next-generation AI and analytics. The role focuses on designing robust, scalable data pipelines and platforms that enable high-quality datasets for advanced AI applications. You will work on modern data architectures, ensuring performance, reliability, and efficient data processing at scale. The position offers opportunities to experiment with emerging AI-driven data techniques and intelligent data systems. You will collaborate with scientists, analysts, and platform teams to translate complex data needs into well-designed engineering solutions. A strong focus will be placed on data quality, automation, and platform innovation. The ideal candidate enjoys solving complex design challenges and building systems that scale seamlessly. Join us to shape the data backbone that accelerates AI innovation.
Basic Qualifications
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
Preferred Qualifications
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Key skills/competency
- Data Engineering
- ETL
- Data Warehousing
- SQL
- AWS
- Data Modeling
- AI
- Analytics
- Big Data
- Scalability
Skills & topics
- Data Engineer
- Data Engineering
- ETL
- Data Modeling
- Data Warehousing
- SQL
- AWS
- Amazon Redshift
- Amazon S3
- Amazon Glue
- AI
- Analytics
- Big Data
- Scalability
- Karnataka
How to get hired
- Tailor your resume: Highlight data engineering experience, SQL proficiency, data modeling, and ETL pipeline development.
- Showcase AWS expertise: Emphasize experience with AWS services like Redshift, S3, Glue, EMR, and Kinesis.
- Quantify achievements: Use numbers to demonstrate the impact of your data solutions and projects.
- Prepare for technical interviews: Brush up on data structures, algorithms, SQL, and AWS services relevant to data engineering.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Data Engineer at Amazon?
- As a Data Engineer at Amazon, you will be responsible for building and scaling data foundations for AI and analytics. This includes designing robust and scalable data pipelines and platforms, working with modern data architectures, and collaborating with scientists and analysts to translate data needs into engineering solutions. A strong focus is placed on data quality, automation, and platform innovation.
- What are the basic qualifications for the Data Engineer role at Amazon?
- The basic qualifications for this Data Engineer position include 3+ years of data engineering experience, 4+ years of SQL experience, and experience with data modeling, warehousing, and building ETL pipelines.
- What AWS technologies are preferred for this Data Engineer role at Amazon?
- Preferred qualifications include experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions. Experience with non-relational databases is also a plus.
- Does Amazon offer workplace accommodations for individuals with disabilities during the hiring process?
- Yes, Amazon is committed to an inclusive culture and provides workplace accommodations for individuals with disabilities during the application, interview, and onboarding process. You can find more information on their hiring accommodations page.
- What kind of data systems will I be working with as a Data Engineer at Amazon?
- You will work on modern data architectures, designing scalable data pipelines and platforms. This includes experience with both relational and non-relational data stores, such as object storage, document databases, key-value stores, graph databases, and column-family databases.
- How does Amazon foster an inclusive culture for its employees?
- Amazon fosters an inclusive culture by empowering Amazonians to deliver the best results for customers. They emphasize a supportive environment where diverse talents are valued and integrated into the work process.