Senior Data Engineer – Apache Spark, Scala

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design, construct, and scale resilient data pipelines and analytics solutions.

• Engage throughout the complete data lifecycle—from data ingestion and transformation to modeling and delivery.

• Participate in architectural decisions and establish best practices.

⛳️ Requirements

• 3–7 years of experience in data engineering or software development within an enterprise environment.

• Extensive hands-on experience with:

• - Apache Spark (Scala)

• - Python

• - MySQL and relational databases

• - Columnar storage formats (e.g., Apache Parquet)

• Familiarity with the AWS ecosystem, including data lake architectures.

• Knowledge of:

• - Airflow for orchestration

• - Databricks

• - CI/CD pipelines (e.g., GitHub Actions)

• Strong comprehension of data modeling, storage, and access patterns.

• Experience in developing highly scalable, high-volume data systems.

• Solid understanding of ETL processes and data integration layers.

• The Sr Data Engineer will grasp the business requirements and design the data pipelines, converting data into business insights, data cleansing, and ETL.

🏝️ Benefits

• Contractor scheme

• 100% Remote