Work cross-functionally to intake, process, transform, and store large amounts of data from various sources
Build and maintain the core data infrastructure that powers the organisation's advanced analytics, machine learning applications, and data-driven decision-making
Strong technical skills, problem-solving abilities, and excellent communication with stakeholders at all levels
Requirements
10+ years of experience with building and maintaining data warehouses, data lakes, and other large-scale data storage systems
Knowledge of ETL processes and data transformation techniques
Ability to design and develop data aggregation and integration processes across different systems and environments
Understanding of data architecture patterns such as lambda and kappa architecture
Snowflake
Data Vault
AWS
Python
Nice to Have: Experience with blockchain infrastructure and data integration
Knowledge of SQL and NoSQL databases
Experience with data visualization and business intelligence tools
Familiarity with machine learning pipelines and model deployment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data warehousesdata lakesETL processesdata transformation techniquesdata aggregationdata integrationlambda architecturekappa architectureSQLNoSQL