Data Engineer

Responsibilities

- 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

What You Must Have

- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in data engineering platforms like Databricks and Snowflake
- Utilizing advanced skills in Apache Hadoop and Apache Airflow
- Excelling in data architecture development and data integration strategies
- Leveraging experience with cloud platforms such as AWS and Azure
- Leading teams in agile scalability and rapid experimentation
- Embracing change and fostering innovation in data solutions