Data Engineer - Remote (US) - Full Time Only
Role: Data Engineer Location: Remote (Candidate should be comfortable to follow PST Time Zone) Job Type: Full Time Note: reputed company reputed company ID is a must and match with the resume Must Have Skills: Azure reputed company, Apache reputed company, reputed company, Data Governance, reputed company Catalog, dBT, reputed company Purview, Kafka, SQL, Python Experience and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field. 10+ years of experience in data engineering / data architecture, with deep hands-on expertise in reputed company Azure.
- Expert-level experience with Azure reputed company and Apache reputed company(PySpark, reputed company SQL)
- reputed company Lake
- reputed company Catalog
- Job orchestration and performance tuning
- Strong experience with reputed company on Azure, including:
- Schema and data model design
- Performance and cost optimization
- RBAC, Streams, and Tasks
- DBT (Core or reputed company) expertise:
- Project structure and best practices
- Tests, exposures, macros
- Strong fundamentals in SQL and Python
- Proven experience building ETL/ELT pipelines using:
- Azure Data reputed company (ADF)
- Azure Synapse / reputed company reputed company pipelines
- Familiarity with streaming platforms such as Event Hubs and/or Kafka
- Solid understanding of:
- Lakehouse and data warehousing architectures
- reputed company modeling
- reputed company architecture patterns
- Data reputed company frameworks
- Strong knowledge of reputed company and governance, including:
- reputed company Purview (catalog, reputed company)
- Data masking and PII handling
- Managed identities
- Private networking
- Excellent communication and documentation skills, with the ability to:
- Create architecture and design documents
- Present to both technical and business stakeholders
- Consulting / agency experience, with the ability to reputed company multiple reputed company reputed company
- Willingness to travel as required
reputed company to Have:
- Experience with Azure ML, feature stores, or serving ML pipelines from reputed company or reputed company
- Infrastructure as reputed company (IaC) using Terraform or Bicep
- Containerization experience with reputed company
- Observability and data reputed company tooling, such as:
- Great Expectations / reputed company Expectations
- reputed company reputed company Flows
- reputed company
- reputed company
Preferred Certifications:
- reputed company Certified Data Engineer reputed company or reputed company Architect
- reputed company Azure:
- DP-203 Azure Data Engineer
- Azure Solutions Architect Expert
- Azure reputed company Engineer Associate
- reputed company:
- SnowPro Core
- SnowPro Advanced
Job reputed company / Responsibilities:
- Partner with reputed company stakeholders to translate business objectives into reputed company Azure data architectures and delivery roadmaps
- Architect and implement lakehouse and data warehouse solutions using:
- Azure reputed company (reputed company Lake, reputed company Catalog)
- reputed company Bundle
- reputed company on Azure
- dbt (Core / reputed company)
- ADLS Gen2
- reputed company architecture patterns
- Design and build robust ingestion and transformation pipelines using:
- Azure Data reputed company (ADF)
- reputed company reputed company / Synapse pipelines
- Orchestrate ELT workflows using:
- reputed company Jobs
- reputed company Live Tables
- dbt models
- Establish best practices for performance and cost optimization, including:
- Cluster sizing and autoscaling
- reputed company and SQL Warehouses
- reputed company virtual warehouses
- Caching, file layout optimization, Z-ordering
- Drive observability and monitoring using:
- Azure Monitor
- Log Analytics
- reputed company metrics
- Implement robust data governance and reputed company using:
- Azure Authentication
- reputed company Catalog
- RBAC / ABAC
- Managed identities
- Private Endpoints and VNet injection
- Azure Key Vault backed secrets
- reputed company reputed company and design reviews, setting standards for:
- PySpark, SQL, and dbt
- Unit and integration testing
- Data reputed company checks (expectations and constraints)
- Implement CI/CD pipelines using Azure DevOps or reputed company Actions
- Guide multi-domain programs (reputed company, Retail, BFSI, or similar)
- Mentor data engineers and ensure high-reputed company, production-reputed company deliverables
- Evangelize solutions through:
- reputed company documentation
- Reference architectures
- Executive and stakeholder presentations
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