Application Developer III

We Are Teva

We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.

Our Team, Your Impact

The Application Developer III, Commercial Data Platforms is a hands-on technical role responsible for designing, developing, enhancing, and supporting Teva's Commercial Data Platforms ecosystem. This position partners closely with business stakeholders, product owners, architects, data engineers, and analytics teams to deliver scalable, secure, and high-performing data and analytics solutions that support critical commercial functions including Sales, Marketing, Commercial Analytics, Field Operations, Incentive Compensation, Forecasting, Market Access, and Data Governance.

The candidate will play a key role in building next-generation data platforms, developing cloud-native data solutions, and driving the adoption of modern engineering practices. The role requires deep expertise in Databricks, cloud data engineering, SQL, Python, data integration, and analytics technologies to enable enterprise reporting, advanced analytics, AI-driven insights, and business intelligence capabilities.

The successful candidate will contribute to Teva's cloud transformation strategy by modernizing legacy platforms, optimizing data pipelines, improving operational efficiency through automation, and delivering innovative solutions that accelerate business value and decision-making**.**

How You’ll Spend Your Day

• Data Engineering & Solution Development
• Design, develop, test, and deploy scalable data pipelines, data products, and analytics solutions supporting commercial business processes.
• Develop and maintain enterprise-grade ETL/ELT solutions for ingesting, transforming, and curating data from multiple internal and external sources.
• Build and optimize data workflows using Databricks, PySpark, Spark SQL, Delta Lake, and cloud-native technologies.
• Develop reusable frameworks and components that improve development productivity and platform consistency.
• Collaborate with business analysts and product owners to translate business requirements into scalable technical solutions.
• Design and implement robust data models to support reporting, analytics, and operational use cases.
• Ensure high levels of performance, reliability, data quality, and scalability across data platforms.
• Develop APIs and integration solutions to support downstream applications and data consumers.
• Databricks Platform Engineering
• Lead development activities on the Databricks Lakehouse Platform.
• Design and optimize Delta Lake architectures supporting enterprise-scale analytical workloads.
• Develop and manage Databricks Workflows, Jobs, Notebooks, Asset Bundles, and deployment pipelines.
• Implement Unity Catalog standards and governance controls to enable secure and compliant data access.
• Optimize Spark workloads and cluster utilization for performance, scalability, and cost efficiency.
• Support migration of legacy ETL and warehouse workloads to Databricks Lakehouse architecture.
• Implement monitoring, observability, and operational controls for Databricks environments.
• Establish and promote Databricks development standards and best practices.
• Commercial Data Platform Delivery
• Develop solutions supporting Sales Analytics, Customer Analytics, Incentive Compensation, Forecasting, Field Force Effectiveness, Market Access, and Commercial Reporting.
• Build and maintain reporting and dashboarding solutions that support commercial decision-making.
• Support data onboarding and integration of pharmaceutical commercial data assets.
• Participate in product launch initiatives by enabling launch analytics, performance tracking, and business intelligence capabilities.
• Ensure accurate and timely delivery of commercial data across enterprise platforms.
• Partner with Data Governance and Business Analytics teams to improve data quality and business adoption.
• Contribute to enterprise cloud transformation initiatives and platform modernization programs.
• Develop cloud-native solutions leveraging AWS, Azure, Databricks, and modern data architecture patterns.
• Implement CI/CD pipelines, automated testing, build automation, and deployment frameworks.
• Identify opportunities to automate operational processes and reduce manual interventions.
• Support Infrastructure as Code and DevOps practices across the data platform ecosystem.
• Drive continuous improvement initiatives focused on reliability, operational excellence, and developer productivity

Required Skills

• Operational Excellence & Support
• Monitor platform performance and proactively identify optimization opportunities.
• Troubleshoot complex production issues and perform root cause analysis.
• Support incident management, problem management, and service improvement initiatives.
• Participate in application releases, deployments, upgrades, and platform maintenance activities.
• Ensure compliance with enterprise security, governance, validation, and change management processes.
• Develop and maintain technical documentation, architecture diagrams, support runbooks, and operational procedures.
• Support SLA adherence and platform availability objectives.
• Collaboration & Technical Leadership
• Collaborate with architects, engineers, analytics teams, business stakeholders, and external vendors.
• Participate in solution design reviews, code reviews, and architecture discussions.
• Mentor junior developers and provide technical guidance on engineering best practices.
• Promote reusable design patterns, coding standards, and development methodologies.
• Stay current on emerging technologies, modern data architectures, AI capabilities, and cloud innovations.
• Contribute to innovation initiatives and proof-of-concept development efforts

Your Qualification and Experience

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, Data Analytics, or a related technical discipline required.
• Master's degree preferred.

3-5+ years of experience in Data Engineering, Data Warehousing, Analytics Platforms, or Software Development roles.

• 3+ years of hands-on Databricks development experience in enterprise environments.
• Strong experience designing and developing large-scale data pipelines and analytics solutions.
• Advanced SQL development and query optimization skills.
• Strong Python and PySpark programming expertise.
• Experience developing ETL/ELT frameworks and data integration solutions.
• Strong understanding of Data Warehouse, Data Lake, and Lakehouse architectures.
• Experience working with cloud platforms such as AWS and/or Azure.
• Experience implementing CI/CD and DevOps practices.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Experience working in Agile delivery environments.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently while contributing effectively to cross-functional teams.

Technical Competencies

Databricks & Lakehouse Platform

• Databricks Lakehouse Platform
• Delta Lake
• Unity Catalog
• Databricks SQL
• Databricks Workflows
• Databricks Asset Bundles
• Workspace Administration
• Cluster Management and Optimization
• Performance Tuning
• Lakehouse Architecture
• Medallion Architecture
• Streaming and Batch Processing

Data Engineering & Analytics

• Enterprise Data Warehousing
• Data Lakes and Lakehouse Platforms
• Data Modeling (Dimensional, Star Schema, Data Vault)
• Master Data Management (MDM)
• ETL/ELT Development
• Data Integration
• Data Quality Frameworks
• Metadata Management
• Data Lineage and Governance
• Business Intelligence and Reporting
• Advanced Analytics Enablement

Cloud Technologies

AWS

• S3
• Glue
• Lambda
• Redshift
• IAM
• CloudWatch

Azure

• Azure Data Lake Storage (ADLS)
• Azure Data Factory
• Azure SQL
• Synapse Analytics
• Azure DevOps

Programming & Development

• SQL
• Python
• PySpark
• Spark SQL
• REST APIs
• JSON/XML Processing
• Git/GitHub
• Object-Oriented Programming
• Test-Driven Development
• Code Review Practices

DevOps & Engineering Excellence

• CI/CD Pipelines
• Azure DevOps
• GitHub Actions
• Release Automation
• Infrastructure as Code Concepts
• Agile and Scrum Methodologies
• Monitoring and Observability
• Production Support
• Service Reliability Engineering

Reporting & Visualization

• Tableau
• Power BI
• Data Visualization Tools
• Dashboard Development
• Self-Service Analytics

How We’ll Take Care of You

At Teva India, care is at the heart of how we work. From your first day, you’ll be welcomed into a people-first culture built on inclusion, respect, and belonging.

That support extends to you and your loved ones through benefits designed for real life. These include comprehensive medical insurance, OPD coverage, annual health checkups, term life and accident insurance, and confidential emotional wellbeing support through our Optum Employee Assistance Program. You’ll also enjoy healthy meals at work, holistic wellbeing initiatives, and volunteering programs that help you give back to the community.

Your growth matters too. You’ll have opportunities to build future-ready skills, collaborate on projects with global teams, explore internal career opportunities, and learn through programs such as our AI-enabled Teva Twist program, R&D Academy, continuing education, and mentorship.

Join our vibrant workplace, where we celebrate milestones, festivals, achievements, and community impact together.

Already Working @Teva?

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Teva’s Equal Employment Opportunity Commitment

Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.