As a Senior Data Engineer within our Enterprise Data and Analytics team, you’ll be at the forefront of a company-wide digital transformation. We’re looking for a forward-thinking engineer who brings deep technical expertise and a passion for building scalable, AI-ready data platforms.
In this role, you’ll architect and implement modern data solutions that power intelligent applications, streamline operations, and deliver measurable business value. You’ll work closely with cross-functional teams to design robust pipelines, integrate diverse data sources, and enable advanced analytics and generative AI capabilities.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Data Bricks, and other Azure services.
• Implement and optimize data storage solutions using Azure Data Lake, Azure SQL Database, and Delta Lake to support analytics and reporting needs.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality, reliable datasets.
• Ensure data security, compliance, and governance by applying best practices, role-based access control (RBAC), and encryption.
• Monitor and troubleshoot data workflows, ensuring performance, reliability, and cost-efficiency across Azure cloud environments.
• Automate data integration and transformation tasks using Azure Functions, Logic Apps, and scripting languages like Python.
• Mentor junior engineers and foster a collaborative team environment.
Essential Qualifications:
• Bachelor’s degree in computer engineering, Computer Science, or a related discipline
• 7+ years of experience in ETL design, development, and performance tuning using the Microsoft Stack in a multi-dimensional data warehousing environment.
• 7+ years of advanced SQL programming expertise (PL/SQL, T-SQL)
• 5+ years of experience in Enterprise Data & Analytics solution architecture
• 3+ years of experience in Python Programming
• 3+ years of hands-on experience with Azure, especially for data-heavy/analytics applications leveraging relational and NoSQL databases, Data Warehousing, and Big Data solutions.
• 3+ years of experience with key Azure services: Azure Data Factory, Data Lake Gen2, Analysis Services, Databricks, Blob Storage, SQL Database, Cosmos DB, App Service, Logic Apps, and Functions
• 2+ years of experience designing data models aligning with business requirements and analytics needs.
• 2+ years of experience defining and implementing data security standards, including encryption, auditing, and monitoring.
• Strong analytical skills and a passion for intellectual curiosity
Preferred Skills:
• 2+ years of experience setting up and operating data pipelines using Python or SQL
• Familiarity with DevOps processes (CI/CD) and infrastructure as code
• Knowledge of Master Data Management (MDM) and Data Quality tools
• Experience developing REST APIs using Java Spring Boot, Python
• Experience building and supporting AL/ML software solutions
• Familiarity with stream-processing systems (e.g., Event Hubs, Storm, Spark-Streaming)
• Experience with API integrations (RESTful, SOAP) for both internal and external systems to enhance data flow and automation.
• Experience working in Agile environments, familiarity with Agile tools like Jira or Azure DevOps.
• Experience in data and analytics within the Life Sciences industry is a plus.
To apply for this job email your details to anup@praxisconsultants.in