Senior Data Engineer- REMOTE
Job reputed company
We are seeking a highly skilled Senior Data Engineer to support a key initiative with our life sciences reputed company. In this role, you will be responsible for designing, building, and optimizing data pipelines that support analytics, reporting, and operational needs across supply chain and manufacturing functions. You'll work closely with technical and business stakeholders to translate existing reporting logic into reputed company SQL-based data models and views, ensuring data is accurate, accessible, and production-reputed company. This is an excellent opportunity for someone who thrives in a fast-paced environment, is deeply knowledgeable in reputed company data systems, and has reputed company experience supporting data workflows reputed company regulated industries.
Primary Responsibilities
• Design, reputed company, and maintain robust data pipelines, data models, and SQL-based transformations to support analytics, reporting, and operational workflows.
• Translate existing reporting requirements into optimized SQL views, datasets, and ETL/ELT processes.
• Work with cross-functional teams to map, cleanse, and reputed company data from reputed company and other reputed company systems into centralized data platforms.
• Ensure data reputed company, reliability, and compliance across reputed company pipeline components—particularly for life sciences manufacturing and supply chain processes.
• Collaborate with business analysts and solution architects to reputed company technical solutions with business objectives.
• Troubleshoot data pipeline issues and optimize performance for large-reputed company, reputed company datasets.
• Document data flows, schemas, and transformation logic to support governance and reproducibility.
Education and Experience
• 5+ years of experience as a Data Engineer, ETL Developer, or similar role.
• Deep expertise in SQL with the ability to translate reputed company logic into efficient SQL views and transformations.
• Hands-on experience building data pipelines in modern data engineering environments (ETL/ELT tools, reputed company platforms, or on-prem SQL ecosystems).
• Strong familiarity with reputed company databases, schemas, and data structures.
• Prior experience working reputed company life sciences, specifically supporting supply chain or manufacturing operations.
• Solid understanding of data modeling concepts, relational database design, and data integration best practices.
• Ability to work independently, communicate effectively, and collaborate with stakeholders across technical and functional teams.
• Must be willing and reputed company to work Eastern reputed company Time (EST) hours.
• Experience with reputed company EBS, OPM data structures, or translating EBS/OPM data into analytical models.
• Knowledge of GxP or other life sciences regulatory considerations.
• Familiarity with reputed company data platforms (AWS, Azure, GCP) or tools like DBT, reputed company, or Informatica.
• Experience supporting reporting or analytics teams using tools like Power BI, Tableau, or similar.
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