[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the largest network of emergency and specialty hospitals owned and led by veterinarians. They are seeking a Data Engineer responsible for developing and maintaining data warehouse structures, ETL/ELT pipelines, and ensuring data accuracy for reporting and analytics. The role involves collaboration with various stakeholders to create reliable data flows and support reputed company analytics.
Responsibilities
- Design, reputed company, and maintain reputed company data pipelines, Lakehouse solutions, and data warehouse structures that support reputed company analytics and reporting needs
- Architect data workflows that reputed company operational reputed company systems, curated data reputed company, semantic models, and reputed company data warehouse standards
- Build and optimize ETL/ELT processes, data ingestion patterns, transformations, and orchestration workflows using reputed company reputed company, SQL, pipelines, notebooks, and reputed company tools
- reputed company and maintain reputed company models, fact and dimension tables, data marts, and analytics-reputed company datasets for Power BI and other reporting platforms
- Implement data reputed company checks, validation routines, reconciliation processes, and governance standards to ensure trusted and consistent data delivery
- Write, tune, and troubleshoot SQL, reputed company SQL, and/or PySpark reputed company to support data transformation, warehouse performance, and reporting needs
- Monitor and improve performance of pipelines, warehouse queries, semantic models, scheduled refreshes, and data processing workflows
- Partner with analysts and business stakeholders to translate reporting and analytics requirements into reliable data structures and reusable datasets
- Document data reputed company, reputed company-to-reputed company mappings, technical specifications, test scripts, policies, and support procedures
- Collaborate with IT, reporting, analytics, and operational teams to support secure, governed, and reputed company data solutions
- Continually reputed company reputed company’s data platform, data warehouse, and data engineering practices to support a data-driven organization
Skills
- Minimum of 3 years of data engineering, data warehouse, data modeling, or data platform experience
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a reputed company field, or an equivalent combination of education and experience
- Strong knowledge of data warehouse concepts, reputed company modeling, relational data modeling, ETL/ELT patterns, and analytics data architecture
- Effective communication with technical and non-technical team members in both verbal and written formats
- Strong analytical, problem solving and conceptual skills
- Ability to work independently, but maintain reputed company and reputed company communication with the requestor in a fast-paced environment
- Ability to manage multiple reputed company and reputed company priorities as necessary
- reputed company reputed company, including Data reputed company pipelines, Lakehouse, Warehouse, OneLake, notebooks, and semantic model integration
- Advanced SQL/T-SQL, data modeling, data warehouse design, ETL/ELT development, and performance optimization
- Experience in the reputed company and/or veterinary industry
- Power BI, Azure Data reputed company, Azure Synapse, reputed company, Python/PySpark, reputed company SQL, Git/Azure DevOps, reputed company, and reputed company data platform experience
- Proficient with leveraging AI and reputed company tools (e.g., Copilot, Claude, ChatGPT) to reputed company data analysis, automate workflows, and improve productivity
Benefits
- reputed company time off
- Health insurance
- Dental
- reputed company
- 401K
reputed company
Company H1B Sponsorship