Data Engineer II

Amazon is hiring a Data Engineer II in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
The posting mentions Python, Java and Scala among its tools and skills.
Level classes it as a mid-level role.
Amazon has 21,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Data Engineer II building end-to-end data pipelines and analytics solutions for Amazon transportation.

pythonjavascalanodejshadoophivesparkemrredshiftkinesis

etldata-modelingsqlbig-datadata-pipelines

The Amazon ShipTech Analytics organization is looking for a smart and ambitious individual to support the development of analytical tools and data processing solutions for the Amazon transportation business. This role will work within a multi-functional BI and data engineering team with a focus on AMXL (Amazon Extra Large) and other rapidly growing delivery programs where Amazon is innovating to find new ways to deliver to our customers.

The ideal candidate thrives working with large volumes of data, enjoys the challenge of highly complex technical contexts, and is passionate about data and analytics. The candidate is an expert within data modeling, ETL design and cloud/big-data technologies and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates large-scale business impact. The candidate should be a self-starter; comfortable with ambiguity, able to think big, and enjoy 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 job responsibilities
· Build end-to-end data pipelines to ingest and transform data from different types of data sources and systems; from traditional ETL pipelines to event data streams
· Utilize data from disparate data sources to build meaningful datasets for analytics, reporting and ML use cases
· Evaluate and implement various big-data technologies and solutions (e.g. Redshift, Hive/EMR, Spark, SNS, SQS, Kinesis) to optimize processing of extremely large datasets
· Understand and analyze business processes, logical data models and relational database implementations
· Write high performing and optimized SQL queries
· Execute research projects, and generate practical results and recommendations
· Design and implement automated data processing solutions and data quality controls

Basic qualifications

- Bachelor's degree
- 3+ years of data engineering experience
- 3+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Preferred qualifications

- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 5+ years of data engineering experience
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

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.

How we rate this

Data Engineer II at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer II is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in IN, TS, Hyderabad.
The job was posted on October 22, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ETLData ModelingSQLBig DataData PipelinesPythonJavaScala

Also common in data engineer jobs at this level

Azure Airflow Databricks Google Cloud Snowflake Machine learning

Pay

Typical data engineer job: $150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where sql was part of your work. What did you do?
Tell me about a project where big data was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ETL, Data Modeling, SQL, Big Data, and Data Pipelines. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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