What You ll Bring - Experience in data engineering and analytics
- Expert knowledge of data processing frameworks and ETL pipelines
- Strong SQL skills and experience with data warehousing
- Proficiency in Python or similar languages for data processing
- Proficiency in Apache Spark and Apache Flink for building and optimizing both batch and real-time data processing pipelines, including stream analytics solutions
- AI modelling and usage experience
- Experience with real-time analytics and stream processing
- Understanding of data modelling and optimization techniques Leadership Skills - Experience leading data/analytics engineering teams
- Ability to translate business requirements into technical solutions
- Robust communication skills to present insights to stakeholders
- Track record of improving data quality and analytics processes Required Qualifications - Bachelors degree in Computer Science or related field
- Willingness to maintain hands-on technical involvement
- Experience with agile development practices
- Strong problem-solving and debugging skills
- History of mentoring and growing technical talent