Data Engineer - Media/OTT | Hybrid (Mexico City)

Wolf Recruiter Company; Ciudad de México; Híbrido; MXN 586.000 - 703.000; Jornada completa

Descripción de la vacante

The ideal candidate will have 10+ years in data modeling with 3+ years in big data, strong SQL/Python skills, and hands-on experience with BigQuery, GCS, Cloud Functions, Composer, and DBT. Hybrid work arrangement negotiable.

Formación

• Experience with data scientists, data analytics and engineering.
• Experience in the Media & Entertainment industry is a must.
• Experience with OTT and media.
• Experience in linear and Nielsen data sets analyst.
• Gather data from multiple sources and prepare it for analysis.
• Analyze large volumes of structured and unstructured data to identify trends and patterns.
• Develop machine learning models and predictive algorithms to solve business problems.
• Use statistical techniques to validate findings and ensure accuracy.
• Expertise in SQL, Python, ERD, GCP (BigQuery, GCS, Cloud Function, Composer), DBT with active hands-on experience in the last 3–5 years.
• Knowledge of modern data technology released in the last 2–3 years.
• Design and optimize conceptual and logical database models.
• Analyze system requirements, implementing data strategies, and ensuring efficiency and security.
• Improve system performance by conducting tests, troubleshooting, and integrating new elements.
• Deep knowledge of data mining and segmentation techniques.
• 10+ years in data modeling with 3+ years in Big data (100TB+)
• Familiarity with data visualization tools.
• Pub-sub setup/configuration steps. Use case where pub-sub is used.

Responsabilidades

• Gather data from multiple sources and prepare it for analysis.
• Analyze large volumes of structured and unstructured data to identify trends and patterns.
• Develop machine learning models and predictive algorithms to solve business problems.
• Use statistical techniques to validate findings and ensure accuracy.
• Design and optimize conceptual and logical database models.
• Analyze system requirements, implementing data strategies, and ensuring the efficiency and security.
• Improve system performance by conducting tests, troubleshooting, and integrating new elements.
• In-depth understanding of database structure principles.
• Expertise in implementing and maintaining data pipelines.
• Deep knowledge of data mining and segmentation techniques.
• Pub-sub setup/configuration steps. Use case where pub-sub is used.

Conocimientos

Data analytics

Data engineering

Media & Entertainment

OTT & media knowledge

Data mining

Data pipelines

Herramientas

SQL

Python

GCP

BigQuery

GCS

Cloud Function

Composer

DBT

Pub-sub

Descripción del empleo

The ideal candidate will have 10+ years in data modeling with 3+ years in big data, strong SQL/Python skills, and hands-on experience with BigQuery, GCS, Cloud Functions, Composer, and DBT. Hybrid work arrangement negotiable.