[Hiring] Senior Data Engineer @Globaldev Group

Role Description

We are looking for a seasoned Data Engineer to join our growing team.

Qualifications

• 4+ years of experience in Data Engineering.
• Proven experience building and optimizing scalable ETL/data pipelines, preferably on Azure Databricks.
• Experience with Azure Data Factory, Databricks, and PySpark.
• Solid experience integrating multiple data sources into data lakehouse / data warehouse architectures.
• Strong SQL skills, including designing data models and SQL Warehouse views.
• Experience translating business requirements into scalable and reliable data solutions/products.
• Experience working with cloud-based data platforms (preferably Azure).
• Strong problem-solving skills with the ability to troubleshoot and optimize data pipelines.
• Understanding of data quality, performance optimization, and reliability best practices.
• Experience working in cross-functional teams and delivering data solutions in a timely manner.

Requirements

• Design, build, and optimize scalable ETL/data pipelines on Azure Databricks.
• Automate data workflows using Azure Data Factory, Databricks, PySpark, and related Azure services.
• Integrate diverse data sources into data lakehouse and data warehouse solutions to enable advanced analytics.
• Design SQL Warehouse views and data models for downstream consumption and analytics use cases.
• Translate complex business requirements into scalable, reliable data products.
• Enhance, troubleshoot, and maintain cloud‑based data pipelines to ensure performance, reliability, and data quality.
• Collaborate with cross‑functional teams and contribute to timely delivery of data solutions.

Benefits

• Flexible work arrangements.
• 20 working days per year as Non-Operational Allowance for personal recreation, fully compensated.
• Collaborative and supportive team culture.
• Truly competitive salary.
• Supportive HR and management team.