Data Platform Engineer — Metrics & Insights

Amazon Inc.; Ciudad de México; On-site; MXN 600,000 - 900,000; Full time

Job summary

Amazon Music is seeking a Data Engineer to join the Metrics and Data Platform team. You will build scalable datasets for internal customers and enable data-driven decisions across product areas including search and personalization.

Strong SQL, data modeling, and AWS experience are essential as you collaborate with product managers and engineers. You will own data pipeline development, diagnose issues, and communicate progress to both technical and non-technical stakeholders while writing clear

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).
• Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design.
• Speak, write, and read fluently in English.

Responsibilities

• Writing high quality code/SQL and reviewing code/SQL across the team.
• Ensuring timely delivery of assigned projects by proactively identifying risks and removing blockers.
• Ability to dive deep, diagnose, and root cause bugs, bottlenecks, or inefficiencies.
• Collaborating with product managers and software engineers/managers.
• Clearly communicating project updates, verbally and in writing, to both technical and non-technical stakeholders and peers.

Skills

Data engineering

Data modeling

Data warehousing

ETL pipelines

SQL

Scripting: Python

Java/Python

English fluency

Job description

Amazon Music is seeking a Data Engineer to join the Metrics and Data Platform team. You will build scalable datasets for internal customers and enable data-driven decisions across product areas including search and personalization.

Strong SQL, data modeling, and AWS experience are essential as you collaborate with product managers and engineers. You will own data pipeline development, diagnose issues, and communicate progress to both technical and non-technical stakeholders while writing clear