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Senior Data Engineer

15 hours, 26 minutes ago
Latin America
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Azure dbt Flink GCP Kafka MLOps Prefect Python Snowflake SQL
Apply Now
tapouts

tapouts

tapouts is a company dedicated to preparing one million children by 2025 to face future challenges by transforming stress into success. Their methodology integrates psychology, neuroscience, and education to provide impactful coaching sessions that pro...

Family Services
11-50
Founded 2021
View All Jobs 2

Description

  • Design, build, and maintain scalable batch and real-time data pipelines.
  • Design and develop dashboards that track key business metrics and support decision-making.
  • Develop and optimize complex SQL queries, stored procedures, and data models.
  • Write production-grade Python code for data ingestion, transformation, and automation.
  • Build and manage cloud-native data infrastructure across AWS, GCP, or Azure.
  • Implement and maintain data lakehouse architectures such as Delta Lake or Apache Iceberg.
  • Support ML workflows, including feature engineering, training pipelines, and MLOps integration.
  • Ensure data quality, governance, and lineage tracking across data assets.
  • Collaborate with data scientists and analysts to deliver trusted, well-documented datasets.
  • Monitor pipeline performance, troubleshoot issues, and optimize for cost and efficiency.

Requirements

  • 5+ years of experience in data engineering or a related field.
  • Advanced English proficiency.
  • Strong proficiency in SQL, including complex queries, performance optimization, and data modeling.
  • Strong proficiency in Python for ETL/ELT pipelines, scripting, and automation.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Hands-on experience with orchestration tools such as Apache Airflow, Prefect, or similar.
  • Experience with big data frameworks such as Apache Spark, Kafka, Flink, or similar.
  • Familiarity with data warehousing solutions such as Snowflake, BigQuery, Redshift, or similar.
  • Strong understanding of data modeling, schema design, and data architecture principles.
  • Experience with dbt and the modern data stack is preferred.
  • Familiarity with streaming and event-driven architectures is preferred.
  • Knowledge of MLOps and AI pipeline support is preferred.
  • Experience with data mesh or data platform engineering is preferred.
  • Familiarity with data governance tools and frameworks, including data lineage and data cataloging, is preferred.

Benefits

  • Remote full-time position.
  • Location restricted to candidates based in Latin America.
  • Equal opportunity employer committed to diversity and non-discrimination.

Interested in this position?

Apply directly on the company website

Apply Now

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