Senior Data Engineer developing and maintaining data solutions while ensuring data governance for the organization. Collaborating with teams using Microsoft Azure technologies in a hybrid work environment.
About the role
- Data Engineering LP at Acuity Brands developing data models and pipelines, collaborating with global teams for innovative data insights and business decisions.
Responsibilities
- Assist in architecting, implementing, and deploying data pipelines and models that support Acuity’s analytics and AI initiatives using tools like Azure Data Factory, Databricks, and SQL
- Perform data exploration, transformation, and validation to ensure accuracy and usability for business reporting and decision-making
- Work closely with engineers, product managers, and data scientists to understand data needs, translate business requirements into data solutions, and support integration of ML/AI models
- Help monitor and maintain data quality standards, documentation, and lineage; learn and apply best practices for security, compliance, and governance (e.g., SOX, GDPR)
- Contribute to building curated datasets and semantic layers that power dashboards, self-service analytics, and predictive insights
- Support production data processes, troubleshoot issues, and assist in optimizing pipeline performance and cost efficiency
Requirements
- Bachelors in Computer Science, Information Science, Mathematics, or related technical field required
- Master’s degree preferred
- Knowledge of SQL, data modeling and at least one programming language (e.g., Python, C++, C#, Scala)
- Strong problem-solving, collaboration, and communication skills
- Curious, self-driven, analytical and excited to play with data
- Ability to thrive in a fast paced work environment
Benefits
- Health care
- Dental coverage
- Vision plans
- 401K benefits
- Commissions/incentive compensation depending on the role
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