Senior Data Engineer (LATAM)

Location: Latin America; remote work or work from one of the offices

Company

hirify.global is a growing software team delivering projects and scalable data solutions.

What you will do

• Design, build, maintain, and optimize scalable ETL/ELT pipelines on AWS or Azure.
• Improve pipeline performance, reliability, and cost-efficiency.
• Implement data-quality checks, monitoring, and alerting for production pipelines.
• Collaborate with the Data Engineering Lead, Architect, and Data Modelling Analyst on pipeline design, standards, data modeling, and schema design.
• Troubleshoot production data pipeline issues and support reliable operation at scale.
• Participate in code reviews and contribute to engineering best practices.

Requirements

• 5+ years of hands-on data engineering experience.
• Deep expertise in one cloud platform: AWS, including Glue, S3, Redshift, EMR, Lambda, or Kinesis; or Azure, including Data Factory, Synapse, ADLS, or Databricks.
• Strong SQL and Python or Scala skills, with experience using orchestration tools such as Airflow or ADF.
• Experience designing ETL/ELT pipelines, implementing data-quality checks, and optimizing performance.
• Familiarity with distributed data processing frameworks such as Spark.
• Experience operating production data pipelines at scale.
• Solid understanding of data warehousing and dimensional modeling concepts.

Nice to have

• Familiarity with CI/CD and infrastructure-as-code, including Terraform.
• Experience with streaming data pipelines using Kafka, Kinesis, or Event Hubs.
• Exposure to dbt or similar transformation tooling.

Culture & Benefits

• Remote work or work from one of the offices.
• Flexible working schedule.
• 20 business days of covered vacation and 5 additional days off.
• Free English classes.
• Friendly and supportive working atmosphere.
• Medical insurance for employees from Ukraine and legal support.