Senior Data Engineer

Sutherland Global Service Limited; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Charles River in Bengaluru seeks a Senior Data Engineer to architect scalable, AI-ready data platforms that power intelligent applications and drive business value. You will design robust pipelines and collaborate with cross-functional teams.

The role emphasizes Azure-based data solutions, data security, and governance, with opportunities to mentor engineers and contribute to a digital transformation across the life sciences domain.

Qualifications

• Bachelor's degree in computer engineering, CS or related field.
• 7+ years ETL design and performance tuning on Microsoft Stack in a multi-dimensional data warehouse.
• 7+ years advanced SQL (PL/SQL, T-SQL).
• 5+ years Enterprise Data & Analytics solution architecture.
• 3+ years Python programming.
• 3+ years Azure data-heavy analytics with relational and NoSQL databases.
• 3+ years Azure services: ADF, Data Lake Gen2, SSAS, Databricks, Blob Storage, SQL DB, Cosmos DB, App Service, Logic Apps, Functions.
• 2+ years data modeling aligned to business analytics needs.
• 2+ years implementing data security standards including encryption, auditing, and monitoring.
• Strong analytical skills and intellectual curiosity.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL using Azure Data Factory, Azure Data Bricks, and other Azure services.
• Implement and optimize data storage using Azure Data Lake, Azure SQL Database, and Delta Lake for analytics and reporting.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver reliable datasets.
• Ensure data security, compliance, and governance with RBAC and encryption.
• Monitor and troubleshoot data workflows, ensuring performance, reliability, and cost-efficiency in Azure.
• Automate data integration and transformation tasks using Azure Functions, Logic Apps, and Python.
• Mentor junior engineers and foster a collaborative team environment.

Skills

Leadership

Analytical thinking

Agile experience

Mentoring

Cross-functional collaboration

Education

Bachelor's degree in computer engineering or CS

Tools

Azure Data Factory

Azure Data Lake Gen2

Azure Databricks

Azure SQL Database

Delta Lake

Azure Functions

Logic Apps

Python scripting

Cosmos DB

Blob Storage

Job description

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. This is a unique opportunity to shape the future of data engineering at Charles River and help unlock the full potential of data to drive innovation in the life sciences.

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 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.