Data Engineer : Advanced Engineer
Brady Corporation (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and develop end-to-end data pipelines on Azure using Databricks including Spark and PySpark.
- Design, maintain, and optimize lakehouse architectures and both batch and streaming pipelines for large-scale datasets, with focus on AI/ML data pipelines.
- Lead architectural decisions, review code, define standards, and mentor junior/mid-level data engineers.
Minimum Requirements
- 6+ years of hands-on experience in Data Engineering or Data Platform roles.
- Strong proficiency in Python, PySpark, Spark SQL, and extensive experience with Databricks tools (jobs, notebooks, workflows, Delta Live Tables).
- Hands-on experience with Azure Cloud services including Azure Data Lake Storage Gen2, Azure Databricks, Azure Data Factory / Synapse Pipelines.
- Advanced SQL skills, knowledge of data warehousing, lakehouse, dimensional modeling, and understanding of Delta Lake optimization and ACID guarantees.
Ideal Candidate Profile
- Experienced data engineer with deep expertise in Azure cloud ecosystem and Databricks platform for large-scale data processing and ML-related pipelines.
- Demonstrated ability to lead technical architectural decisions and mentor engineering teams in a data platform environment.
- Strong operational focus on performance tuning, cost optimization, and implementing data governance, quality, and security frameworks.