Senior Software Engineer, Data Capability Group

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.

Purpose
We are seeking a Senior Software Engineer to design, develop and support a variety of internally developed applications, tools and platforms focused on research data management. This will include Enterprise Data Lake, research data repositories, data ingestion tools, data quality frameworks and technologies that include for example AWS EC2, AWS Data Zone, AWS Services like Lambda, S3, RDS, deployment processes with CFTs, Apache Spark, Hive and Python. The candidate will influence ongoing data management processes with automations fueled by AI/ML, utilizing GenAI, Agentic AI and emerging LLM models.

The candidate will design and develop data pipelines, implement necessary integration work, and will manage electronic data collection and access, all in accordance with BMS policies and project expectations. The scope of work includes development and testing data pipelines, metadata management, lifecycle management, data quality assurance, data management (parsing, transformations, extraction), data enrichment through scripting, as well as contributing to solution design. This role requires innovative thinking to identify automation opportunities to improve productivity of various data management and data governance processes. The candidate will be an integral part of a small team focusing exclusively on Research scientific data and will contribute to the Research portfolio of projects.

Experience & Qualifications

• BS/MS in STEM (Computer Science, Engineering) or a degree in life sciences with computer science expertise
• 4+ years of relevant industry experience, or a strong technical graduate
• Experience/expertise in database development, data transformations, systems and data integration, building pipelines and data lake management
• Experience with modern SQL and NoSQL databases
• Experience leveraging AI tools and LLM models for productivity improvement in software development, data management and automation.
• Proficient with programming languages like Python, Scala, JavaScript, NodeJS
• Experience with AWS Web Services for storage management, application deployment, access control, messaging, serverless architecture, API development, database development etc.
• Experience in Linux/Unix scripting
• Experience/expertise in lab data acquisition lab data management processes
• Demonstrated strong teamwork and organizational skills, and outstanding interpersonal skills
• Ability to multitask, work independently and communicate effectively
• Strong analytical and problem-solving skills
• Knowledge of microservices architectures
• Experience or training in managing big data
• Knowledge of RDBMS or other data cataloging systems
• Experience with life sciences

Key Responsibilities

• Develop data pipelines, data catalogs, data access and provisioning, and data transfers (internal and external)
• Develop documentation, APIs, data models, transformation rules etc. to facilitate knowledge of scientific data repositories
• Technical ownership of applications, tools and platforms used for research data management.
• Develop frameworks and automations for managing complex data pipelines, monitor data quality issues and manage data access
• Provide technical expertise in the capture and transformation of complex scientific data
• Perform metadata management for downstream integration solutions
• Contribute to the development of policies, procedures, and best practice methodologies; ensure that data is well governed, quality assured, and policies are followed
• Understand the needs of the business and commit to delivering the best user experience and adoption practices