Data Engineer, Flex Analytics

Amazon is hiring a Data Engineer, Flex Analytics 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 Python, R and Spark among its tools and skills.
Level classes it as a mid-level role.
Amazon has 21,000+ other open roles on Level.

AI in this role

Design and support data pipelines, architecture, and analytics platforms for the Amazon Flex analytics team.

pythonrsparkawsredshiftgluekinesis

etldata-warehousingdata-modelingsqldata-governance

Interested in the gig economy? Come be a part of it. The Amazon Flex Analytics Team is building the global business intelligence platform that powers Amazon Flex worldwide. We’re working hard, having fun, and making history!

We are looking for candidates who want to help shape the future of Flex. Specifically, we are looking for a Data Engineer who is passionate about data architecture and wants help us use data to understand Flex Driver behavior and satisfaction. In this role, you will develop and support the analytic technologies that give our teams flexible and structured access to their data, including implementation of a BI platform, defining metrics and KPIs, and automating reporting and data visualization.

You will be responsible for designing and implementing scalable processes to publish data and build solutions to reconcile data for integrity and accuracy of data sets used for analysis and reporting. You should have broad understanding of RDBMS, ETL, Data Integration, Data Warehousing, Data Governance and Data Lakes. Experience with Python, R, or Spark is highly preferred and will put you at the top of the list.

Key job responsibilities
In this role, you will have the opportunity to use your skills in the following areas:

* Create and support data pipelines built on Amazon and AWS technologies including Spark, Cradle, DataCraft, Glue, Kinesis, and Redshift/Spectrum
* Develop and improve the current data architecture, data quality, monitoring and data availability
* Collaborate with BI Engineers to continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
* Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (ex. data visualization tools for non-tech business users)
* Participate in strategic and tactical planning discussions that drive the DE team’s work

Basic qualifications

- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)

Preferred qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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, Flex Analytics at Amazon rates 0 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, Flex Analytics 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 10, 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 WarehousingData ModelingSQLData GovernancePythonRSpark

Also common in data engineer jobs at this level

Azure Airflow Databricks Google Cloud Snowflake Java

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 warehousing 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 governance was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ETL, Data Warehousing, Data Modeling, SQL, and Data Governance. 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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