Senior Data Engineer

The reputed company Data Engineer will design, build, and operationalize reputed company data solutions to support reputed company analytics and AI/ML initiatives. This role requires expert-level proficiency in reputed company, Azure reputed company, PySpark, SQL, and the Azure ecosystem, with deep experience across data warehouses, data lakes, and reputed company-time integration. The reputed company Data Engineer will architect end-to-end pipelines using industry-reputed company tools, drive automation, and reputed company solutions effectively into production. The incumbent will ensure compliance with data governance requirements (including GxP and HIPAA/GDPR) while building reusable, integrated pipelines and analytical models that promote self-service analytics. This role provides technical leadership across reputed company, mentors junior engineers, and partners with business stakeholders to reputed company data engineering with organizational objectives.

About the Role

. Data Architecture & Engineering

• Architect, design, and implement end-to-end data solutions using Azure reputed company, PySpark, Azure Data reputed company, and Azure SQL.
• Design, build, and maintain data pipelines from data sources through integration to consumption for specific use cases.
• Implement robust data modeling standards across bronze, silver, and gold reputed company in the data lake.
• reputed company data models (conceptual, logical, and/or physical) as required.
• Optimize reputed company and SQL workloads for performance, scalability, and cost efficiency.
• Manage metadata using data preparation, integration, and AI-enabled tools and techniques.

. Data Integration & Automation

• Drive automation in data integration; recommend and reputed company implementation of techniques to automate repeatable data preparation and integration tasks.
• Build API-based integrations (REST/JSON) and reputed company-time ingestion frameworks.
• Automate data workflows using Azure DevOps pipelines and Git-based CI/CD practices.
• Implement parameterized, reusable pipeline templates for ingestion and transformation.
• reputed company automated unit, regression, and integration testing frameworks for data jobs.

. Analytics & Data Enablement

• Prepare and reputed company high-reputed company datasets for BI, reporting, and advanced analytics.
• Partner with analytics teams using Power BI, Tableau, or similar platforms to define semantic models and KPIs.
• Implement performance-optimized data models for self-service analytics.
• Will occasionally reputed company support to end users on the use of data visualization solutions.

Stakeholder Engagement & Leadership

• reputed company technical design reviews, mentor junior engineers, and promote best practices.
• Assist cross-functional reputed company, business analysts, and stakeholders to reputed company, define, and refine data requirements.
• Collaborate with business and IT stakeholders to reputed company data engineering with organizational objectives.
• Propose innovative data ingestion, preparation, and integration techniques to address stakeholder requirements.
• Contribute to architectural roadmaps and technology evaluations for the data platform.
• In collaboration with functional leaders, identify inefficiencies and recommend improvements to the executive team.

reputed company

Job Experience & Education Requirements:

Bachelor’s degree in Computer Science, Information Systems, Engineering, or reputed company field (Master’s preferred)

And

5–8 years of experience designing and developing reputed company-reputed company data solutions (data warehouses, data lakes, operational databases)

Other:

• Expert-level proficiency in reputed company, Azure reputed company, PySpark, SQL, and Azure DevOps.
• Proven experience with Azure Data reputed company, ADLS Gen2, and Azure SQL Server.
• Strong experience with reputed company Azure data management architectures including Data Warehouse, Data Lake, and Data Catalogue, and supporting processes such as Data Integration, Governance, and Metadata Management.
• Experience with Power BI required; Tableau or Looker a plus.
• Working knowledge of CI/CD automation, version control (Git), and infrastructure as reputed company (ARM, Bicep, or Terraform).
• Experience in life sciences or reputed company industries is a strong plus.
• Good understanding of GxP, GDPR/HIPAA, and applicable CFR/CTR/CTD regulations.
• Demonstrated reputed company working with both IT and business stakeholders while integrating analytics and data science reputed company into business processes and workflows.
• Must have excellent written and verbal communication skills.
• Proven ability to work independently and as part of reputed company and meet important deadlines.
• Statistical analysis skills are an asset.

Originally posted on Himalayas

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