Senior Data Engineer (Snowflake & Python)

TL;DR

Senior Data Engineer (Snowflake & Python): Orchestrating high-performance data pipelines and warehouse solutions with an accent on ETL/ELT development and BI visualization. Focus on optimizing data integrity, implementing dbt transformations, and managing scalable AWS-based data infrastructure.

Location: Remote (Must be based in Romania)

Company

hirify.global is a global professional services firm specializing in the delivery of cutting-edge digital products across various industries.

What you will do

• Develop and optimize complex ETL/ELT pipelines for data processing.
• Design and maintain Snowflake DWH components and architecture.
• Build BI visualizations using Amazon QuickSight for clinical stakeholders.
• Implement and manage data transformations utilizing dbt.
• Leverage AWS Glue, Lambda, and S3 for scalable data infrastructure.
• Perform root cause analysis to ensure high levels of data integrity.

Requirements

• 5-10 years of professional experience in data engineering.
• Expertise in Snowflake DWH and Python.
• Advanced SQL proficiency, including CTEs, window functions, and query tuning.
• Hands-on experience with AWS ecosystem (Glue, Lambda, S3).
• Proficiency with dbt and Amazon QuickSight.
• Must be based in Romania

Nice to have

• Experience designing or optimizing data lake solutions.
• Knowledge of big data tools such as Spark or Hive.
• Familiarity with CI/CD tools for automation of deployment and testing.
• Understanding of data security practices, governance, and compliance.

Culture & Benefits

• Remote-first approach with a flexible work environment (home, office, or blend).
• Opportunity to collaborate within a global, multicultural team.
• Dedicated focus on wellbeing, including mental health plans and generous time off.
• Accelerated career growth through a professional services model across diverse projects.