Data Engineering Manager , CMT
Amazon is hiring a Data Engineering Manager , CMT in Bengaluru, India. Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this data engineer role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include SQL, Python and ETL.
- Level classifies it as a lead role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Lead data engineering team managing pricing systems infrastructure and implementing GenAI solutions for analytics.
We are looking for an experienced and technically skilled individual to lead a team of Data and Business Intelligence Engineers. The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused engineering leader who will play a key role in continuous improvement for the critical systems that enable our pricing business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions.
The ideal candidate is a motivated self-starter that can work in a fast paced, ambiguous environment with limited supervision and who can quickly absorb the nuances of Amazon's varied pricing programs and processes.
Key job responsibilities
Delivery of robust, scalable data solutions supporting CMT data infrastructure.
- Leadership in data governance and quality standards.
- Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.
- Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.
- Collaborate with Product/Program Managers, BI teams, and stakeholders to prioritize work aligned with CMT business goals.
- Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
- Drive team growth through mentoring, coaching, and career development.
Basic qualifications
- 8+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience managing a data or BI team
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience hiring, developing and promoting engineering talent
- Bachelor's degree or above in computer science, computer engineering, or related field
Preferred qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
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 Engineering Manager , CMT at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
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 data engineering 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 team management was part of your work. What did you do?
- Tell me about a project where genai was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Data Modeling, Team Management, GenAI, and SQL. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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