Data Engineer Sr

Turtle Trax S.A.; Región Centro; Híbrido; MXN 800.000 - 1.100.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Data engineering

Python

Spark

SQL

Hadoop

Hive

Impala

Airflow

NiFi

DevOps/CI-CD

Herramientas

Databricks

Snowflake

Airflow

NiFi

Talend

Git

Descripción del empleo

Overview

We are looking for a Senior Data Engineer who will help in implementing data analytics products using on-prem and cloud data platforms.

Position Responsibilities

• Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.
• Build and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.
• Develop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.
• Optimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns
• Contribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.
• Partner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

Ideal Candidate Qualifications

• Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).
• High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.
• Hands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)
• Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.
• Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.
• Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.
• Experience developing Java based applications is an added advantage.

hybrid Guadalajara

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