Hybrid role in CDMX
THE WORK:
Embrace the opportunity to contribute to innovative solutions!
You will perform independently and become a subject matter expert while actively participating in discussions and contributing to resolving work-related challenges.
Data Engineer responsible for managing and analyzing data using key tools and technologies such as Python, AWS, Hadoop, Spark, and GIT. This role involves designing, building, and maintaining data processing systems that support the business’s analytics and reporting needs. Responsibilities include creating efficient data pipelines, troubleshooting them, integrating diverse data sources, and optimizing the performance of data systems.
HERE'S WHAT YOU WILL NEED:
- Beginner proficiency in Design & Build Enablement with Spark, Pyspark, Python, SQL, AWS (Servicios: S3, athena, redshift, cloudwatch, glue)
- Experience in implementing cloud and on-premise solutions, Apache SPARK framework, as well as in the use of relational databases and collaboration with multidisciplinary teams. GIT (CI/CD software, version control and continuous integration).
- A minimum of 4 years of experience in relevant related skills.
- Bachelor's Degree in relevant field of studies.
BONUS POINTS IF YOU HAVE:
- Beginner proficiency in Build Management.
- Beginner proficiency in Configuration & Release Management.
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