- Hands-on experience with technologies such as Python, Databricks, AWS, Java, Pyspark, Spark, Kafka, and SQL.
- You are curious about and motivated by the future trends in data, AI/ML, analytics, and digital experience
- Experience in data product development, analytical models, and model governance
- Experience in anonymizing data and managing the use of data
- Experience in data hygiene procedures, identity resolution capabilities or data management a plus
- Exceptional interpersonal skills with proven experience in relationship building and partnering. Must work well in both team and individual settings and must be able to work with a geographically dispersed team.
- Strong analytic capabilities and written and oral communication skills. Attention to detail is a must.
- Strong project management skills and a demonstrated ability to understand complex information product constructs
- Familiarity with industry best practices for collection and use of data
- Motivated self-starter with ability to excel at multi-tasking in a fast-paced environment, outstanding English written and verbal communication skills
Nice to have
Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts
Experience in working with Cloud APIs (e.g., Azure, AWS)
Experience participating in complex engineering projects in an Agile setting e.g. Scrum