Data Engineer, Metrics & Data Platform for Music

Servicios Comerciales Amazon Mexico S. De R.L. De C.V.; Xico; On-site; MXN 480,000 - 720,000; Full time

Job summary

Servicios Comerciales Amazon Mexico S. De R.L. De C.V. is seeking a Data Engineer to join the Metrics and Data Platform team. You will build scalable datasets and ETL pipelines, collaborating with product and engineering to enable data-driven decisions.

You will work with SQL, Python, and big data tools, influencing data models for internal customers and contributing to improvements in search, recommendations, and operations. Strong English skills required.

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 modeling

SQL

Python

ETL

English

Tools

Hadoop

Hive

Spark

EMR

Redshift

S3

AWS Glue

Job description

Servicios Comerciales Amazon Mexico S. De R.L. De C.V. is seeking a Data Engineer to join the Metrics and Data Platform team. You will build scalable datasets and ETL pipelines, collaborating with product and engineering to enable data-driven decisions.

You will work with SQL, Python, and big data tools, influencing data models for internal customers and contributing to improvements in search, recommendations, and operations. Strong English skills required.