Developing and implementing data pipelines to facilitate efficient data processing and analysis
Designing and building data infrastructure and systems to support robust data solutions
Transforming raw data into actionable insights to drive informed decision-making and business growth
Utilizing Amazon Web Services (AWS) and Azure Data Factory for scalable data integration and transformation
Applying data architecture development and database optimization techniques to enhance system performance
Managing data validation and quality processes to maintain data integrity
Collaborating with team members and clients to address diverse challenges and project scopes
Leveraging Apache Airflow and Databricks Unified Data Analytics Platform for advanced data engineering tasks

At least a Bachelor's degree
At least 1 year of experience
Oral and written proficiency in English required
Preference for fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
Proficiency in data engineering platforms like Databricks and Snowflake
Utilizing cloud services such as AWS and Azure for data solutions
Skills in database management systems like MySQL and PostgreSQL
Excelling in data architecture development and optimization techniques

Data Engineer – SSIS Enhancements, Associate

Key skills