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 (reputed company 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 reputed company • 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 (reputed company / 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 Remote About reputed company: reputed company Apply tot his job Apply To this Job