Turnberry Solutions is a consulting firm that focuses on providing data strategy and intelligence services. As a Data Engineer, you will be responsible for building data architectures and pipelines, ensuring data quality, and designing solutions leveraging Microsoft Azure and other tools.
Responsibilities:
- Identify, create, and prepare data required for modern BI/ML solutions
- Build data architectures and data pipelines to collectively bring together data
- Design solutions using Microsoft Azure services, Databricks, and other tools
- Assure that data is cleansed, mapped, transformed, and optimized for storage and use according to business and technical requirements
- Automate tasks and deploy production standard code (with unit testing, continuous integration, versioning, etc.)
- Load transformed data into storage and report structures such as data warehouses, real-time reporting systems, and analytics applications
Requirements:
- Bachelor's Degree in Computer Science or similar
- Experience in data engineering and cloud data processing services (Azure Cloud Platform)
- Hands on experience in Data Warehousing and ETL tools
- Experience in Big Data technologies (e.g. Databricks, Alteryx)
- Experience building and optimizing 'big data' data pipelines, architectures, and data sets
- Knowledge of SQL and Python/PySpark
- Open mindset, ability to quickly adapt to new technologies and learn new practices
- Communication skills
- Collaboration skills
- Presentation skills
- Knowledge of Oracle PL/SQL, Java, SAS is a plus
- Performance/security-oriented data modeling and data design, including partitions, different type of indexes, views, and most effective data management practices
- Azure Synapse Analytics, Azure DevOps
- Knowledge of Purview, Power BI, Qlik, or Tableau is a plus
- Azure Data Engineer certification preferred