Level

Amazon

Data Engineer I, EU AMXL BIT

Amazon is hiring a Data Engineer I, EU AMXL BIT. 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, Airflow and SQL 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

Design and build end-to-end data pipelines, warehouses, and ETL infrastructure using Python, SQL, and AWS services.

pythonairflowsqlawsredshiftglues3sparkhadoop
data-engineeringetldata-modelingdata-warehousing
Amazon Extra Large (AMXL) is looking for a customer focused, analytically and technically skilled Data Engineer to drive effective performance measurement and management, innovation and execution.

As a Data engineer on this team, you will have the exciting opportunity to contribute to one of the few E2E Organizations within Amazon. You will collaborate closely with program managers, engineers, analysts, and business teams to design and implement solutions tailored to their needs, requiring creativity and strong problem-solving skills. You will play a key role in developing data engineering roadmaps aimed at building platforms to address complex challenges in efficient and scalable ways. In this role, you will leverage your analytical skills to work backwards from customer problems and design solutions that meet their objectives.

Additionally, you will be responsible for designing, developing, and operating a data service platform using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components. You’ll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will design and implement complex data models and build the end-to-end infrastructure for reports and dashboards to be created by our customers. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more.


Key job responsibilities
Work with external data partners to establish AMXL connections to ingest various datasets
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using different AWS products such as Lambda, Glue, EMR, Kinesis Firehose
Maintain and enhance existing data pipelines
Create extensible designs and easy to maintain solutions with the long term vision in mind
Interface with cross functional teams, gathering requirements and delivering data solutions
Improve tools, processes, scale existing solutions, create new solutions as required based on team and stakeholder needs

Basic qualifications

- Experience in data engineering
- 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.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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 I, EU AMXL BIT 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Data EngineeringETLData ModelingData WarehousingPythonAirflowSQLAWS

Also common in data engineer jobs at this level

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

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where data modeling was part of your work. What did you do?
  4. Tell me about a project where data warehousing was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, ETL, Data Modeling, Data Warehousing, and Python. 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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