SR DATA ENGINEER

ISAD Mexico; San Pedro Garza García; Presencial; MXN 781.200; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Law benefits

Grocery vouchers

Medical Insurance

Descripción de la vacante

A leading consultancy is seeking a Data Engineer to work onsite in Monterrey on a project for a Fortune 100 Japanese multinational. You will architect and implement scalable data platforms using Azure and Databricks. The role requires over 8 years of experience in Data Engineering, advanced skills in Python and SQL, and a strong preference for Scala expertise. Competitive salary and benefits including medical insurance and grocery vouchers are offered for this 12-month contract.

Formación

• Must have 8+ years in Data Engineering or Architecture.
• Advanced Python and SQL skills; proficiency in Scala preferred.
• Experience with data modeling and API integrations.
• Strong performance tuning skills.
• Excellent English communication skills for global collaboration.

Responsabilidades

• Architect Medallion and implement ETL/ELT using ADF and Databricks.
• Build Spark pipelines for both batch and streaming data.
• Define schemas, optimize performance and cloud costs.
• Lead best practices and collaborate with analysts and software teams.

Conocimientos

Data Engineering/Architecture

Python

SQL

Scala

Data modeling

API-based integrations

Performance tuning

English B2+/C1

Herramientas

Azure

Databricks

Spark

ADF

Kafka

Descripción del empleo

Work Model:

100% Onsite, Monday–Friday

Employer:

ISAD México (assigned to a global consultancy project)

Contract

12 months

Salary + Benefits

$70,000 mxn (gross/month), law benefits, $3,500 grocery vouchers/month, Medical Insurance

About the Project

Build a modern Lakehouse for a Fortune 100 Japanese multinational (global #1 in HVAC, 100+ years, 170+ countries). You’ll architect and ship scalable data platforms on Azure + Databricks, enabling analytics, BI, and ML across a complex enterprise.

What You’ll Do

• Architect Medallion (Bronze/Silver/Gold) and implement ETL/ELT with ADF + Databricks.
• Build Spark pipelines (batch & streaming); integrate Kafka/Event Hubs where needed.
• Define schemas, partitioning, indexing; optimize performance and cloud costs.
• Lead best practices and collaborate with analysts, ML, and software teams.

Must-Haves

• 8+ years in Data Engineering/Architecture.
• Python & SQL (advanced); Scala proficiency strongly preferred.
• Data modeling, API-based integrations, governance, and performance tuning.
• English B2+/C1 for global collaboration.
• Onsite availability (Mon–Fri) in Monterrey.

Nice-to-Haves

Why This Role

• Architect at enterprise scale with global visibility.
• Work inside a Fortune 100 environment with a high‑impact roadmap.
• Be part of a seasoned consulting team accelerating digital transformation.