Analytics Engineer: Data Pipelines & Power BI (Remote México)

Turtle Trax S.A.

Región Centro

Remote

MXN 900,000 - 1,300,000

Full time

9 hours ago
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Job summary

Turtle Trax S.A. seeks an Analytics Engineer to own data engineering and analytics tasks. You will build data pipelines with dbt and Python in Airflow, model analytics data, and craft Power BI dashboards with robust data models.

The role blends ELT work with reporting to deliver reliable insights for decision makers. Ideal candidates bring 10+ years in data engineering, strong SQL/Python, Snowflake experience, and a proven ability to work independently in a fast-paced environment while engaging

Qualifications

  • 10+ years experience in data analytics/engineering.
  • Strong SQL and data analysis skills.
  • Python for data pipelines.
  • dbt and ELT/data transformation experience.
  • Data modeling knowledge (dimensional models, fact/dimensions).
  • Experience with modern cloud data warehouses (Snowflake).
  • Power BI experience including data modeling and DAX.

Responsibilities

  • Build, maintain, and enhance data pipelines and transformations using dbt and Python (Airflow).
  • Develop clean, reliable data models for analytics and reporting.
  • Work with SQL and data warehouses to investigate data, troubleshoot, and transform data.
  • Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures.
  • Translate business requirements into data models and reporting solutions.
  • Perform data analysis, validation, reconciliation, and data quality checks.
  • Explore AI tooling to improve productivity in tasks.

Skills

SQL
Python
Power BI
Data modeling
dbt
Airflow
Snowflake
ELT
DAX

Tools

dbt
Airflow
Snowflake
Power BI
Python
SQL

Job description

Turtle Trax S.A. seeks an Analytics Engineer to own data engineering and analytics tasks. You will build data pipelines with dbt and Python in Airflow, model analytics data, and craft Power BI dashboards with robust data models.

The role blends ELT work with reporting to deliver reliable insights for decision makers. Ideal candidates bring 10+ years in data engineering, strong SQL/Python, Snowflake experience, and a proven ability to work independently in a fast-paced environment while engaging

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