Senior Data Engineer
Skills
AdoptionBusiness IntelligenceConsumer TextilesLaw EnforcementModelingOptimizationProcess Optimization
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 7+ years of hands-on Data Engineering experience
- 5+ years with cloud platforms such as AWS and Azure
- Mastery of Python and advanced SQL
- Experience designing CI/CD pipelines and Infrastructure as Code
- Deep expertise in ETL ELT optimization dimensional modeling and data security
- Expertise across 3 to 5 major cloud and data platforms including AWS GCP Azure Snowflake Databricks and Fabric
- Proven consulting experience with client-facing technical leadership
- Excellent verbal and written communication skills
Nice to have
- Expert-level
- Client-first
- Builder-led
- Cross-functional
- Consultative
Day to day
- Define and implement scalable data architecture for client platforms and pipelines.
- Lead the adoption of cloud-native managed and serverless solutions across lakehouses and warehouses.
- Drive advanced ETL and ELT practices while enforcing data governance data quality and security standards.
