Data Engineer - II, LMAQ-DE

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

Level's read on this job

On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
The posting mentions Emr, Rdbms and AWS among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Build and manage large-scale data integration and delivery services for Amazon's Last Mile delivery network. वर्मा

EmrRdbmsAWSData WarehouseData Lake

etldata-modelingsqldata-integrationbig-data

Job Description:
Are you interested in being part of rapidly expanding Amazon initiative to redefine how we deliver packages to Amazon customers and take your skills and career to the next level? Join the Last Mile Data Engineering Team (LMDET) to raise the bar for our delivery channels and redefines Amazon’s global Last Mile delivery network.

Key job responsibilities
Last Mile Data Engineering Team is looking for a Data Engineer (DE) to play a significant role in building their large-scale, high-volume, high-performance data integration and delivery services. These data solutions would be primarily used in periodic reporting, and drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our software systems. You will be responsible for designing, developing, troubleshooting, evaluating, deploying, and documenting data warehouse/data lake solutions, enabling stakeholders to manage the business and make effective decisions. You are expected to build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. You are required to support and manage growth of these data solutions. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams. As a Data Engineer, you will be working in one of the largest cloud-based data lakes. You should be skilled in the architecture of data warehouse solutions for the Enterprise using multiple platforms (EMR, RDBMS, Columnar, Cloud). You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.

About the team
The Last Mile Data Engineering Team (LMDET) is a specialized data engineering organization focused on delivering seamless, secure, and governed access to Last Mile datasets at scale. The team designs and owns large-scale data lake and data warehouse infrastructures, including the Last Mile Data Repository (LMDR) and Campus data platforms, housing 10,000+ datasets across domains such as maps, geocoding, routing, and transportation. Leveraging AWS and industry-leading big data technologies, the team builds complex ETL pipelines, near-real-time data ingestion systems, and reusable datasets that power analytics, business reviews, and machine learning model development. LMDET also drives innovation through Generative AI-powered solutions for natural language querying, auto-insight generation, geocoding orchestration, and unified workflow automation, partnering closely with business, science, product, and technology teams to enable intelligent, data-driven decision-making across the Last Mile organization.

Basic qualifications

- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- 2+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

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.

How we rate this

Data Engineer - II, LMAQ-DE 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, LMAQ-DE 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 September 15, 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 ModelingSQLData IntegrationBig DataEmrRdbmsAWS

Also common in data engineer jobs at this level

Spark Azure Airflow Databricks Google Cloud Snowflake

Pay

Typical data engineer job: $147k

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 data integration 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?

Adapt your resume

List these exact terms on your resume: ETL, Data Modeling, SQL, Data Integration, and Big Data. 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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