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.
