Data Engineers, Analysts & Scientists (w|m|d)
Core
Design and build scalable data architectures, develop ETL/ELT pipelines, create analytical dashboards, and deploy machine learning models to solve complex business problems.
Role type
Data Engineering, Data Analysis, and Data Science roles
Builds
Scalable data architectures, ETL/ELT pipelines, dashboards, and production ML models
Domain
Cloud data engineering and analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Cloud platforms (Azure, AWS), Data modeling, Statistical analysis, Machine Learning, Data visualization
Preferred skills
Databricks, MS Fabric, Snowflake, Power BI, Tableau
Technologies
Azure, AWS, Databricks, MS Fabric, Snowflake, Power BI, Tableau
Responsibilities
Conceive and develop ETL/ELT pipelines; Develop scalable data models; Ensure data quality through automation and monitoring; Create analytical dashboards; Develop and train ML models; Collaborate with cross-functional teams to deploy solutions
Seniority
Entry-level to Senior