Data Engineer
Posted 2
views
Summary
Architects and builds large-scale Azure data platforms — designing Databricks and Synapse solutions, developing PySpark/Python ETL/ELT pipelines, and integrating AI/ML workloads — while leading technical teams. Aimed at engineers with 8–12+ years of experience.
Databricks Architect – PySpark, Python & Azure
Experience: 8–12+ years
We are looking for a Databricks Architect with strong expertise in PySpark, Python, Azure, Synapse, Databricks, and AI/Data Engineering.
Key Responsibilities:
- Design and implement scalable Azure Databricks and data engineering architectures.
- Lead development using PySpark and Python for large-scale data processing.
- Design Azure Synapse, Data Lake, and modern data platform solutions.
- Define Databricks architecture, performance optimization, security, governance, and best practices.
- Integrate AI/ML workloads with Databricks and Azure data platforms.
- Lead technical teams and provide architecture guidance across data engineering projects.
- Develop robust ETL/ELT pipelines and cloud-native data solutions.
Required Skills:
Databricks | PySpark | Python | Azure | Azure Synapse | Data Lake | ETL/ELT | SQL | Data Engineering | AI/ML
Must Have: Strong Databricks Architect experience with hands-on PySpark, Python, Azure, and Synapse expertise.