The adecuado candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Design and setup Data Platorms based on AWS, Azure, Databricks
- Analyze raw data: assessing quality, cleansing, structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
- Setup Data Quality and Data Governance procedures according to DAMA, ideal Azure Purview and Google Dataplex
Qualifications
- Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 3 years' of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, SQL, Java, JavaScript)
- Familiarity with Big Data & ETL platforms (Redshift, Databricks, Azure Fabric, GCP, AWS, Informatica, Cassandra, Hadoop, Spark, )
- Familiarity with Visualization Tools visualization tools (PowerBI, Looker, Qlik, etc)
- Interested on Data Quality and Data Governance processes and its implmentation with PurView, Quest Data Intelligence, Dataplex, Informática, Collibra, etc.
Sector
- Infraestructura y análisis de datos
Tipo de empleo
Jornada completa