Software Engineer

This is an opportunity for someone who thrives in solving complex data challenges, takes ownership of projects, and is eager to learn and implement cutting-edge technologies like Fabric, Databricks, Spark, and CosmosDB.

Responsibilities

• Redesign and optimize database architecture to support scalable data processing.

• Build and manage ETL pipelines to clean, transform, and integrate data from multiple sources.

• Develop and maintain data models for AI and BI teams.

• Work with Azure technologies including Azure Data Factory, Fabric, Databricks, SQL Server, CosmosDB, and Spark.

• Improve data processing speeds by optimizing queries and database structures.

• Ensure data governance, security, and best practices for storage and processing.

• Work with Lakehouse architecture, using Fabric, shortcuts, delta files, semantic tables.

• Collaborate with stakeholders to understand data needs and translate them into solutions and documentation.

• Work closely with the lead architect to execute the company’s data vision Execute DBA tasks as needed

Qualifications

• 7+ years of professional experience in data engineering, database development, or data warehousing.

• Strong experience with SQL development and database administration.

• Demonstrated, hands-on experience with ETL pipelines, data cleansing, and transformation.

• Proficiency in Python for data processing and automation, data cleansing. Demonstrated experience with Azure technologies (Databricks, MS SQL Server).

• Experience in data warehouse architecture and scalable data solutions.

• Familiarity with BI tools like Tableau and Power BI.

• Willingness to execute DBA tasks as needed