Data Engineer

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