Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Amazon Data Engineer Amazon Music 
Mexico, Mexico City 
636034151

01.12.2024
DESCRIPTION

As a Data Engineer, you will drive engineering and operational projects for the Metrics and Data Platform team. You will work with Product to understand top customer pain points and with our data engineering team to understand desired operational improvements. You will implement and own operational improvements and solutions as well as enhancements to key business datasets. You will model and build extensible and intuitive datasets for over 50 unique internal customers. Your datasets will directly inform leadership questions on customer engagement, determine external payments to music labels, and help drive product improvements to search, personalization, and more.Key job responsibilities- 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- Clearly communicating project updates, verbally and in writing, to both technical and non-technical stakeholders and peers

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)
- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design


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.
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project