Data Engineer & Analytics Architect for Scalable Pipelines

Softeq Development Corp.

Región Centro

Híbrido

MXN 1.376.000 - 1.651.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Softeq Development Corp. is seeking a strong Data Engineer to transform large data sets into reliable pipelines for ML and analytics. You will design ETL processes, optimize storage, and collaborate with cross-functional teams to deliver robust data solutions.

The role requires heavy SQL, experience with cloud platforms and BI tools, and programming in Python or R. You will build dashboards, ensure data quality, and contribute to data architecture while documenting models and processes for

Formación

  • Proficiency in SQL with ability to write optimized queries for large datasets.
  • Strong analytical skills with experience in data warehouses and relational databases.
  • Programming experience in Python or R for data analysis.
  • Familiarity with ETL tools and frameworks (Airflow, dbt, NiFi).
  • Experience with BI platforms such as Tableau, Power BI, Looker.
  • Solid understanding of data modeling and data warehousing concepts.
  • Experience with cloud-based data platforms (Redshift, BigQuery, Snowflake).

Responsabilidades

  • Design, develop, and maintain scalable data pipelines and ETL processes to support analytics and BI.
  • Write complex SQL queries to extract, transform, and analyze large datasets from multiple sources.
  • Build and maintain dashboards, reports, and data visualizations for actionable insights.
  • Collaborate with cross-functional teams to understand data needs and deliver robust solutions.
  • Perform exploratory data analysis to uncover trends and opportunities for deeper investigation.
  • Ensure data quality and governance through validation and stewardship practices.
  • Develop scripts/tools in Python or R to automate workflows and analyses.
  • Support data infrastructure improvements and contribute to data architecture and design.
  • Document data models, pipelines, and processes for internal knowledge sharing.

Conocimientos

SQL proficiency
Analytical skills
Python or R
Data modeling
Communication

Educación

Bachelor's degree in CS/DS/Engineering

Herramientas

MySQL
PostgreSQL
MSSQL
Airflow
dbt
Apache NiFi
Tableau
Power BI
Looker
AWS Redshift
Google BigQuery
Snowflake
Python
R

Descripción del empleo

Softeq Development Corp. is seeking a strong Data Engineer to transform large data sets into reliable pipelines for ML and analytics. You will design ETL processes, optimize storage, and collaborate with cross-functional teams to deliver robust data solutions.

The role requires heavy SQL, experience with cloud platforms and BI tools, and programming in Python or R. You will build dashboards, ensure data quality, and contribute to data architecture while documenting models and processes for

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