Data Engineer

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.