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Data Engineer - Remote (US) - Full Time Only

Remote, USA Full-time Posted 2026-07-03

Role: Data Engineer Location: Remote (Candidate should be comfortable to follow PST Time Zone) Job Type: Full Time Note: Active reputed company ID is a must and match with the resume Must Have Skills: Azure reputed company, Apache Spark, 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 Spark(PySpark, Spark 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 Factory (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
  • Dimensional modeling
  • reputed company architecture patterns
  • Data quality 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 projects
  • 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 Code (IaC) using Terraform or Bicep
  • Containerization experience with reputed company
  • Observability and data quality tooling, such as:
  • Great Expectations / reputed company Expectations
  • reputed company Quality Flows
  • reputed company
  • reputed company Preferred Certifications:
  • reputed company Certified Data Engineer Professional 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 Description / Responsibilities:
  • Partner with client stakeholders to translate business objectives into scalable 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 Factory (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 code and design reviews, setting standards for:
  • PySpark, SQL, and dbt
  • Unit and integration testing
  • Data quality 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-quality, production-reputed company deliverables
  • Evangelize solutions through:
  • Clear documentation
  • Reference architectures
  • Executive and stakeholder presentations Remote About the Company: reputed company Apply tot his job

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