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Role: Senior Data Engineer
Location: Milpitas, CA (Hybrid)
Job Description:
These are skills we are looking
Specialization: Azure | Databricks | PySpark | Python | SQL | Data Warehousing | Data Products
Core Technical Expertise
Azure Cloud Platform:
Microsoft Azure (ADLS Gen2, ADF, Synapse, Azure SQL, Key Vault, App Services)
Cloud-native architecture design & cost optimization
Security & governance (RBAC, Managed Identity, Private Endpoints)
Databricks Engineering:
Azure Databricks end-to-end development
Lakehouse architecture implementation
Delta Live Tables (DLT) & Unity Catalog
Performance tuning & cluster optimization
CI/CD for Databricks workloads
Big Data & Processing Frameworks:
Apache Spark (PySpark advanced transformations, optimization)
Structured Streaming & batch pipelines
Delta Lake architecture & optimization techniques
Programming & Querying:
Python (advanced data engineering & automation)
PySpark (distributed data processing)
SQL (complex query optimization, performance tuning, analytics engineering)
Data Architecture & Engineering
Enterprise Data Warehouse Architecture (EDW)
Dimensional modeling (Star/Snowflake schemas)
Data Vault 2.0 modeling
Metadata-driven ingestion frameworks
CDC implementation (Change Data Capture)
Medallion architecture (Bronze/Silver/Gold layers)
Data lineage, governance, and cataloging
Master Data Management (MDM)
Data Products & Analytics Enablement
Design & delivery of scalable data products
Business-aligned semantic layer design
KPI frameworks & enterprise reporting enablement
Integration of ERP, SaaS, and operational systems
Lakehouse + EDW hybrid architecture
DevOps & Engineering Practices
CI/CD pipelines (Azure DevOps, GitHub Actions, Bitbucket)
Infrastructure as Code (Terraform, ARM templates)
Automated testing (unit, integration, data quality)
Monitoring & observability (logging, alerting)
Agile & Scrum Methodologies
Strategic Impact
Principal-level solution architecture design
Cross-functional stakeholder engagement
Technical roadmap Strategies and delivery
Advanced Competencies
Performance optimization for large-scale distributed systems
Data governance frameworks (GDPR, SOX compliance alignment)
Cost optimization strategies in cloud data platforms
Migration from legacy EDW (e.g., Teradata, Oracle, SQL Server) to Lakehouse
Hello Everyone,
Please share suitable profiles.
Don’t call me, Once I review the profile will give you a call.
|
If you are sharing any profile, please mention: Location – Work Authorization – "Before submitting any candidates please share the visa back and front copy must and LinkedIn id " |
Role: Senior Data Engineer
Location: Milpitas, CA (Hybrid) – Need Local or max 50 miles