A fintech company that provides an energetic, cutting-edge, and forward-thinking working environment.
Main Responsibilities:
- Design, develop, and implement ETL processes to extract data from diverse sources, transform it according to business requirements, and load it into the target data warehouse.
- Collaborate with cross-functional teams, including data scientists, analysts, and software developers, to understand data needs and develop scalable ETL solutions.
- Optimize ETL processes for performance, scalability, and reliability.
Requirements:
- Degree holder in Computer Science, Engineering, or a related field.
- At least 4 years of working experience in Data engineering.
- Proficient in Python and SQL; hands-on experience with ETL tools and frameworks such as Apache Series.
- Familiar with big data concepts, Hadoop and Spark.
- Familiarity with cloud-based data storage and processing platforms, preferably AWS.
- Strong understanding and practice of Agile projects.
