Senior/Lead Big Data Engineer (Databricks)

TL;DR

Senior/Lead Big Data Engineer (Databricks): Building and optimizing scalable data solutions on the Databricks platform with an accent on reliable data pipelines and cloud-based data architectures. Focus on developing data transformation workflows, optimizing complex SQL queries, and implementing CI/CD practices for data engineering.

Location: Must be based in Ukraine (Remote/Office)

Company

hirify.global is a global digital transformation company providing comprehensive software development and consulting services.

What you will do

• Design, develop, and maintain scalable data pipelines using Databricks, Python, SQL, and dbt.
• Build and optimize data transformation workflows for large datasets to ensure performance and reliability.
• Develop and optimize complex SQL queries to support analytics and reporting workloads.
• Create and maintain data models using dbt, including testing and data quality validation.
• Implement orchestration, monitoring, and CI/CD practices for data engineering workflows.
• Collaborate with technical and business stakeholders to deliver production-ready data solutions.

Requirements

• 5+ years of experience in Data Engineering or related fields.
• Hands-on production experience with Databricks for data engineering solutions.
• Strong SQL skills for writing, optimizing, and debugging complex queries across large datasets.
• Production experience with Python for data engineering, automation, or analytics.
• Experience designing scalable data pipelines and cloud-based data platforms.
• English: Intermediate strong (B2) or higher required.

Nice to have

• Practical experience with dbt, including data transformation, modeling, testing, and documentation.