Senior Data Engineer
Core
Develop data engineering pipelines and analytic solutions to support Advanced Analytics and Data Science teams, enabling self-service analytics for internal partners and external customers.
Role type
Senior Data Engineer
Builds
Data engineering pipelines, dashboards, reports, and insights
Domain
Food industry data engineering and analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks (SQL, PySpark), Snowflake, relational databases (SQL Server, Oracle ADW, Redshift), Data Lake and Data Warehousing (Dimensional modeling), Microsoft Azure (ADLS, Azure Key Vault, Azure Dev Ops), self-service dashboarding, modern analytics tools
Preferred skills
AI functions in production pipelines, Azure Data Factory, Informatica, data visualization tools (Power BI, Sigma)
Technologies
Databricks, Snowflake, SQL Server, Oracle ADW, Redshift, Microsoft Azure, Power BI, Sigma, Azure Data Factory, Informatica
Responsibilities
Develop and iterate data engineering pipelines, dashboards, and reports; Provide expertise on data engineering and visualization tools; Partner with Analytics and Data Science to define best practices; Translate complex data engineering requirements from concept to implementation; Collaborate to advance self-service analytics capabilities; Engage hands-on to gather requirements and build pipelines
Seniority
Senior, hands-on IC