Remote Data Engineer

Description:

• Sigma Software is seeking a Data Engineer to lead a small team and modernize a simple data platform into a cloud-based self-service analytics project.
• The role involves creating an efficient system for collecting, processing, analyzing, and visualizing large amounts of data from various sources.
• Responsibilities include laying down the foundation and modeling the data, developing a platform for building and maintaining data pipelines, creating a Data Warehouse, analyzing and preparing domain descriptions in collaboration with Business analytics, creating Data Marts, and designing a permission model with flexible control over vertical and horizontal access to data.

Requirements:

• Candidates must have conceptual knowledge of data analytics fundamentals, including dimensional modeling, ETL/ELT, reporting tools, data governance, data warehousing, and both structured and unstructured data.
• Strong SQL knowledge and experience with RDBMS is required, along with confident knowledge of database fundamentals.
• Experience in database development and data modeling is essential, ideally with Databricks/Spark.
• Proficiency in Python and experience with Azure are necessary.
• Candidates should have a working knowledge of serialization formats and their trade-offs (columnar vs. row-based).
• Experience debugging and optimizing Spark jobs is required.
• Strong written and verbal communication skills are essential, with at least an Upper-Intermediate level of English.
• A BS in Computer Science or a related field is required.
• Experience with a Business Intelligence tool would be a plus.

Benefits:

• Employees can work remotely, providing flexibility in work arrangements.
• The position offers the opportunity to work on an internal project that combines automation of reporting and self-service data analytics.
• Employees will be part of a team that is modernizing data platforms and contributing to significant improvements in data handling and analytics within the company.