Data Engineer

Designing and implementing scalable data infrastructure and systems to support efficient data processing and analysis
- Developing and managing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
- Utilizing platforms such as Apache Hadoop, Apache Airflow, and Azure Data Factory to optimize data workflows and processes
- Leading teams in the strategic planning and execution of data engineering projects, confirming timely delivery and quality outcomes
- Mentoring and coaching team members to enhance their skills and performance in data engineering tasks
- Collaborating with client stakeholders to identify data challenges and propose innovative solutions
- Overseeing the deployment and maintenance of data warehouses, confirming data integrity and security
- Promoting the adoption of advanced technologies and methodologies to drive continuous improvement in data engineering practices
- Analyzing system components to identify linkages and interactions, facilitating comprehensive data solutions
- Encouraging team development by fostering an environment of learning and skill enhancement