We are seeking a talented Data Engineer with expertise in Power BI, Azure Data Factory, Databricks, Python, data warehousing, data lakes, and DevOps. The ideal candidate will have experience in AI and machine learning, with a passion for designing and implementing innovative solutions that drive business outcomes.

Responsibilities:

• Design, develop, and implement data engineering solutions using Power BI, Azure Data Factory, Databricks, Python, data warehousing, and data lakes.
• Work collaboratively with data analysts, data scientists, and business stakeholders to understand requirements, identify opportunities for automation and optimization, and deliver innovative solutions.
• Build and maintain efficient data pipelines, ensuring data quality and accuracy, and implement appropriate data governance and security controls.
• Automate and streamline processes to enable faster and more efficient delivery of data-driven insights.
• Develop and maintain DevOps processes for data engineering, including continuous integration and continuous delivery.
• Stay up to date with emerging technologies and industry trends, identifying opportunities to incorporate new tools and techniques into our data engineering processes.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• At least 5 years of experience in data engineering, with a focus on Power BI, Azure Data Factory, Databricks, Python, data warehousing, and data lakes.
• Strong experience in DevOps processes, including continuous integration and continuous delivery.
• Experience in AI and machine learning, with a proven track record of implementing data-driven solutions in a business context.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and business stakeholders.
• Familiarity with Agile development methodologies and project management tools.
• Passion for learning and staying up to date with emerging technologies and industry trends.