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Open nowPosted yesterday

Senior Data Engineer

EXL2,289 open roles

Where
Mexico, Bogotá Capital District (Distrito Capital), Colombia
Work mode
Hybrid
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Your applicationOpen nowSenior Data EngineerEXL · Mexico, Bogotá Capital District (Distrito Capital), Colombia

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. EXL postings stay open a median of 20 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted yesterday

EXL median: 20 days open

The posting

Job Description

Key Responsibilities

  • Design, develop, and optimize scalable data pipelines using Python and SQL
  • Build and manage data models and transformations using DBT
  • Develop and maintain workflows and scheduling using Airflow
  • Work with Snowflake for data warehousing, performance tuning, and data optimization
  • Ensure data quality, integrity, and reliability across all data systems
  • Collaborate with cross-functional teams including Analytics, BI, and Data Science teams
  • Monitor and troubleshoot data pipelines and workflows to ensure timely delivery
  • Implement best practices for data governance, security, and compliance

Required Skills & Qualifications

  • Strong experience in SQL and data modeling
  • Proficiency in Python for data engineering tasks
  • Hands-on experience with Snowflake (data warehousing, optimization, performance tuning)
  • Experience working with DBT for transformation and data modeling
  • Experience with workflow orchestration tools like Airflow
  • Good understanding of ETL/ELT processes and data pipeline architecture
  • Familiarity with cloud platforms (AWS/Azure/GCP) is a plus
  • Strong problem-solving and analytical skills
  • Excellent Communication skills
  • Ability to effectively collaborate with global stakeholders and teams

Responsibilities

Lead data engineering strategy across projects. Drive innovation in practices and optimization. Represent team in executive meetings. Develop long-term data plans.

Qualifications

Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.

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