Azure Data Warehouse Engineer

The client is looking for an Azure Data Warehouse Engineer to work an 8 month extendable contract based in Caribbean (remote).

Requirements:

• Proficient in deriving solutions from loosely defined business challenges, demonstrating adaptability and problem-solving acumen.
• Exceptional team leadership and mentoring abilities, fostering collaboration and professional growth within teams.
• Skilled in architecting and implementing medium to large scale BI solutions on Azure, utilizing a comprehensive suite of Azure Data Platform services.
• Capable of assessing the current production state of applications and evaluating the impact of new implementations on existing business processes.
• Proficient in developing cost-effective architectures in Azure, providing recommendations to optimize data infrastructure.
• Experienced in designing, setting up, and maintaining Azure services, ensuring smooth operations of critical components.
• Expertise in executing Extract, Transform, and Load (ETL) processes from diverse source systems to Azure Data Storage services, employing a variety of tools and languages.
• Competent in developing and managing pipelines in Azure Data Factory, facilitating seamless data extraction, transformation, and loading from multiple sources.
• Possesses a strong understanding of Spark Architecture and effectively develops Spark applications for data extraction, transformation, and aggregation.
• Assumes responsibility for estimating cluster sizes, monitoring, and troubleshooting Spark Databricks clusters, optimizing performance parameters for efficiency.
• Demonstrates exceptional communication skills, conveying complex data insights to non-technical stakeholders with clarity and precision.
• Proven ability to drive organizational buy-in for data-driven initiatives, influencing stakeholders to embrace data-driven decision-making.
• Expertise in data analysis, data mining, and statistical techniques, leveraging statistical packages and programming languages like SAS, R, or Python.
• Familiarity with statistical packages, quantitative analytics, forecasting, and optimization algorithms, enabling informed decision-making and strategic planning.
• Possesses solid industry knowledge and extensive experience leading teams, guiding them to deliver impactful results in alignment with organizational goals.