TL;DR

Senior Data Engineer (Cloud): Developing and optimizing high-performance data systems and modern data architectures on major cloud platforms with an accent on ingestion, streaming pipelines, and data transformation. Focus on solving complex schema evolution, data governance, and large-scale data processing challenges using Spark and distributed tools.

Location: Hybrid in Heredia, Costa Rica

Company

%hirify_global% is a leading global professional services company, transforming clients' business, operating, and technology models for the digital era.

What you will do

Develop and optimize data systems on major cloud platforms (AWS, GCP, Azure).
Build modern data architectures including data lakes, lakehouses, and hubs.
Develop and manage streaming data pipelines using tools like Kafka and Flink.
Utilize SQL-based frameworks and orchestration tools (dbt, Glue, Airflow).
Implement and manage Slowly Changing Dimensions (SCD) and schema evolution.

Requirements

Strong experience with major cloud platforms (AWS, GCP, Azure) and modern data architectures.
Proficiency in ingestion tools (Kafka, AWS Glue) and data formats (Iceberg, Parquet).
Expertise in Spark for transformation, streaming, tuning, and debugging.
Advanced programming skills in Python, Java, or Scala.
Expert-level SQL.
Demonstrated experience in DevOps practices (code management, CI/CD, deployment) and data governance principles.

Culture & Benefits

Be part of a high-caliber, energetic, collaborative, and inclusive global team.
Opportunity to innovate and build a personalized career path.
Commitment to people, clients, company, communities, and climate.
Work for a company consistently listed among the most admired globally.