Senior Data Engineer
Skills
Cloud InfrastructureDevopsAmazon Web ServicesInfrastructureAzure Data ServicesDatabricksSnowflake
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Mastery-level knowledge of data engineering and modern data platform delivery
- Deep experience in Lakehouse architecture distributed data processing cloud data warehousing data transformation or data governance
- Proven ability to build implementation plans for complex enterprise-scale data platforms and pipelines
- Experience developing standards processes and operational plans that improve stability resilience security and performance
- Deep expertise with Azure Data services Databricks Snowflake and DBT cloud
- Strong proficiency with Azure Data Factory Fivetran Databricks notebooks DBT cloud ETL ELT frameworks Python SQL Spark and scripting languages
Day to day
- Architect and enhance the core data infrastructure supporting geospatial analytics.
- Build reliable high-throughput pipelines and maintain cloud-based data warehouses.
- Ensure machine learning and analytics teams have secure high-availability access to mission-critical data.
- Provide technical leadership across complex cross-team data initiatives with a focus on scalability resilience and maintainability.