Senior Data Engineer - Remote

Design and develop scalable data pipelines and data processing workflows on Azure.

Build and maintain data solutions using Azure Databricks and Azure Data Factory.

Develop data transformation and processing workloads using PySpark and Python.

Write and optimize SQL queries for data processing and analytics.

Ensure data quality, reliability, performance, and scalability across data pipelines.

Collaborate with Data Analysts, Engineers, and business stakeholders to deliver data solutions.

5+ years of experience in Data Engineering or a related field.

Strong hands-on experience with Azure Databricks and Azure Data Factory.

Strong experience with PySpark, Python, and SQL.

Good understanding of data pipelines, ETL/ELT, data transformation, and data modeling.

Experience working with cloud-based data platforms and large-scale data processing.

Strong analytical and problem-solving skills.

Fluent English communication skills.

Experience in the Energy sector is a plus.

Receive 100% salary from the onboarding date.

Participate in company activities: Teambuilding, travel, vacation and other activities.

Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.