Full Stack Engineer
About The Position
We are seeking a Full Stack Engineer to architect and deliver comprehensive analytics solutions spanning data ingestion, transformation, modeling, and visualization using cloud and big-data technologies. In this role, you will build resilient data pipelines and analytical datasets that support descriptive, diagnostic, and advanced analytics use cases, including data science and forecasting models. You'll write complex SQL and Spark code optimized for scale, governance, and CI/CD deployment, while acting as a technical and analytical expert who independently tackles highly complex problems, leads functional initiatives, and translates raw data into trusted insights that drive business performance and decision-making.
Requirements
- Master's degree in Information Systems, Computer Science, Engineering, or related field, or equivalent combination of education, training, and experience
- Expert skill in Databricks
- Advanced skill in Azure SQL, Azure Data Lake, Azure App Service, Python, and T-SQL
- Experience sourcing, maintaining, and updating data in cloud environments
- Knowledge of and ability to perform basic statistical analysis
- Experience with ETL tools and techniques
- Experience designing and building data pipelines using API ingestion and streaming ingestion methods
- Excellent change management and communication skills
- Strong understanding of data warehousing, data cleaning, data quality, data pipelines, and analytical techniques required for data usage
Responsibilities
- Provide Data Intelligence and Data Warehousing solutions and support by leveraging project standards and leading data platforms
- Design and operationalize data science workflows within Databricks, including exploratory analysis, feature engineering, and production-ready analytical datasets integrated into CI/CD pipelines
- Build and maintain Azure data pipelines using DevSecOps processes
- Define and build data integration processes for use across the organization
- Build conceptual and logical data models for stakeholders and management
- Work directly with business leadership to understand data requirements and develop solutions that enable effective decision-making and drive business objectives
- Prepare advanced project implementation plans highlighting major milestones and deliverables using standard methods and work planning tools
- Document existing and new processes to develop and maintain technical and non-technical reference materials
- Identify potential issues and risks during analytics project implementation and suggest mitigation strategies
- Own the process of manipulating and merging large datasets and communicate findings effectively
- Perform other duties as assigned
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
