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- Ingesting first and third-party data sources into our databases.
- Curating and maintaining high-quality data assets so our data scientists can make informed decisions and create better products.
- Collaborating with cross-functional teams to deliver high-quality data assets.
- Deploying and maintaining ML models on our deployment framework.
- Architecting, defining, and building data pipelines to enable faster, better, data-informed decision-making.
- Bachelor's degree in Computer Science or equivalent education or practical experience.
- Overall 3-5 years of experience in software engineering.
- Hands-on experience with writing clean, structured, and high-performance SQL and production-ready Python code with appropriate documentation.
- Strong understanding of software fundamentals, such as data structures and test-driven development.
- Experience with big data and data warehouse technologies are an added advantage.
- Experience with Airflow, Terraform, GCP and AWS are a plus.
- Ability to work in a collaborative and fast-paced environment with a growth mindset.
- Excellent written and spoken English communication skills, with the ability to work effectively in a team.
- Strong business mindset and ability to grasp business requirements from stakeholders.
- A dynamic and challenging work environment.
- A company committed to developing you personally and professionally.
- A great working atmosphere with regular company and team events.
- A vibrant and international team committed to diversity and inclusion.
- Responsibility from day one in a fast growing and global company.
- Other benefits include free food, health and dental insurance, and learning and development opportunities!
- Ingesting first and third-party data sources into our databases.
- Curating and maintaining high-quality data assets so our data scientists can make informed decisions and create better products.
- Collaborating with cross-functional teams to deliver high-quality data assets.
- Deploying and maintaining ML models on our deployment framework.
- Architecting, defining, and building data pipelines to enable faster, better, data-informed decision-making.
- Bachelor's degree in Computer Science or equivalent education or practical experience.
- Overall 3-5 years of experience in software engineering.
- Hands-on experience with writing clean, structured, and high-performance SQL and production-ready Python code with appropriate documentation.
- Strong understanding of software fundamentals, such as data structures and test-driven development.
- Experience with big data and data warehouse technologies are an added advantage.
- Experience with Airflow, Terraform, GCP and AWS are a plus.
- Ability to work in a collaborative and fast-paced environment with a growth mindset.
- Excellent written and spoken English communication skills, with the ability to work effectively in a team.
- Strong business mindset and ability to grasp business requirements from stakeholders.
- A dynamic and challenging work environment.
- A company committed to developing you personally and professionally.
- A great working atmosphere with regular company and team events.
- A vibrant and international team committed to diversity and inclusion.
- Responsibility from day one in a fast growing and global company.
- Other benefits include free food, health and dental insurance, and learning and development opportunities!