Data Engineer

Job Overview

We are seeking a skilled Data Engineer to support a large-scale enterprise environment undergoing transformation. This role involves designing, building, and optimizing data pipelines, as well as supporting reporting and analytics initiatives.

Key Qualifications

• 5+ years of experience in Data Engineering or Software/Data-related roles
• Strong experience working in enterprise environments (on-prem and cloud)
• Advanced SQL skills and expertise in data modeling (star schema, dimensional models)
• Hands-on experience with SQL Server
• ETL development experience using SSIS or similar tools
• Experience supporting reporting and analytics using Power BI
• Familiarity with Spark-based platforms, preferably Databricks Lakehouse

Data Engineering Responsibilities

• Design, build, and optimize batch and/or streaming data pipelines
• Work across relational databases, data lakes, and NoSQL systems
• Transform raw data into curated, reusable datasets for analytics
• Utilize orchestration tools such as Airflow
• Implement CI/CD pipelines and follow Git-based workflows

Nice to Have

• Experience using AI tools or copilots for SQL development, testing, or documentation
• Exposure to automation or AI-driven engineering workflows

Soft Skills

• Strong communication and collaboration skills
• Ability to work effectively with cross-functional teams
• Comfortable working in regulated, production-critical environments (utility/energy experience is a plus)