Senior Data Engineer - Spark, ETL Pipelines (Hybrid)

Turtle Trax S.A.; Región Centro; Hybrid; MXN 800,000 - 1,100,000; Full time

Job summary

Turtle Trax S.A. is seeking a Senior Data Engineer to implement data analytics products on prem and cloud data platforms. You will work with cutting-edge big data platforms at scale and build robust ETL/ELT pipelines.

The role requires strong Python, Spark, and SQL skills and hands-on experience with Hadoop ecosystem and cloud data platforms such as Databricks and Snowflake. Collaboration with product teams and adherence to DevOps practices are essential.

Qualifications

• Production-grade data pipelines on Hadoop ecosystem and cloud data platforms (Databricks).
• Strong Python, Spark, Hadoop, Hive, Impala, and SQL skills to build Big Data products.
• Experience with cloud data platforms such as Databricks and Snowflake.
• Familiarity with orchestration/integration tools like Airflow, NiFi, or Talend.
• Knowledge of DevOps/CI-CD practices: Git, testing, release pipelines, observability.

Responsibilities

• Work with cutting-edge big data platforms (e.g., Databricks, Spark) at large scale.
• Build and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation.

Skills

Data engineering

Python

Spark

SQL

Hadoop

Hive

Impala

Airflow

NiFi

DevOps/CI-CD

Tools

Databricks

Snowflake

Airflow

NiFi

Talend

Git

Job description

Turtle Trax S.A. is seeking a Senior Data Engineer to implement data analytics products on prem and cloud data platforms. You will work with cutting-edge big data platforms at scale and build robust ETL/ELT pipelines.

The role requires strong Python, Spark, and SQL skills and hands-on experience with Hadoop ecosystem and cloud data platforms such as Databricks and Snowflake. Collaboration with product teams and adherence to DevOps practices are essential.