Data Engineer

Remote: 
Full Remote
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Offer summary

Qualifications:

4+ years of professional experience as a Data Engineer, Strong SQL expertise including complex joins and performance tuning, Hands-on experience with Talend or similar ETL platforms, Solid understanding of data warehousing concepts and dimensional modeling..

Key responsibilities:

  • Design and implement efficient data ingestion and ETL pipelines using Talend
  • Write and optimize advanced SQL queries including window functions
  • Collaborate with stakeholders to align data processes with business goals
  • Monitor and enhance data quality, integrity, and reliability.

Turtle Trax S.A. logo
Turtle Trax S.A. Startup https://www.turtle-trax.com/
2 - 10 Employees
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Job description

Data Engineer (Talend)

Location: Mexico (Remote)
Engagement: Full-Time / Contractual

Role Overview

We’re seeking a highly skilled Data Engineer with hands-on experience in SQL, ETL tools (especially Talend), and data pipeline development. This role requires someone who can not only write performant queries and build robust data pipelines but also understand and implement modern data warehousing practices.

Core Responsibilities
  • Design and implement efficient data ingestion and ETL pipelines using Talend or similar tools

  • Write and optimize advanced SQL queries, including window functions and Common Table Expressions (CTEs)

  • Clean, structure, and transform large datasets from multiple sources

  • Collaborate with stakeholders to align data processes with business goals

  • Monitor and enhance data quality, integrity, and reliability

  • Support predictive/prescriptive modeling initiatives by preparing analytical datasets

  • Document processes and solutions clearly for cross-functional use

Must-Have Qualifications
  • 4+ years of professional experience as a Data Engineer

  • Strong SQL expertise including:

    • Complex joins, subqueries

    • Window functions (ROW_NUMBER, RANK, LAG/LEAD)

    • CTEs and performance tuning

  • Hands-on experience with Talend, Informatica, SSIS, or similar ETL platforms

  • Solid understanding of dimensional modeling, data warehousing concepts (SCDs, fact/dimension tables)

  • Experience handling large-scale relational and/or cloud-based databases

  • Familiarity with data pipeline design and error handling

  • Proficient in English (written and spoken)

Nice to Have
  • Experience using Python for data transformation tasks

  • Knowledge of cloud data services (AWS, GCP, or Azure)

  • Familiarity with real-time data streaming tools or frameworks

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration

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