Data Engineer II

Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.

Our teams are agile, cooperative, and committed to delivering—for each other, for our customers, and ultimately for the people who rely on the services we support.

We are passionate about developing our people, through career development and progression; technical and therapeutic area training; peer recognition and total rewards program.

We are committed to building an inclusive culture – where you can authentically be yourself. We are continuously building the company we all want to work for and our customers want to work with. Provide technical guidance and support to development teams and clients throughout the solution lifecycle. Troubleshoot and resolve complex issues related to Cloud based Data Lake and Data Mesh environments. Develop and implement scalable and secure cloud solutions for Big Data Platforms. Optimize data pipelines using distributed cloud computing to ensure that they support high volume / high velocity data streams and are scalable to meet growth expectations.

Perform tuning of a Big Data /NoSQL environment with underlying impact analysis of distributed jobs to enhance data processing, analytics, and machine learning capabilities. Implement a mixed batch/near-real time architecture to analyze, index, and publish data for applications.

Create and maintain comprehensive documentation for solution designs, configurations, and best practices. Provide training and support to clients and internal teams on solution architecture. 5+ years of experience in Database Development, Master Data Management (MDM), and Data Integration initiatives.





- 5+ years of hands-on experience designing and implementing ETL/ELT solutions using Azure data integration technologies, including Azure Data Factory, Azure Functions, Logic Apps, and Azure Databricks.
- Strong expertise in Azure Databricks and PySpark for developing scalable, high-performance data pipelines.
- Proficient in SQL development, with extensive experience writing, optimizing, and troubleshooting complex queries in Azure-based or other relational database platforms.
- Solid understanding of Software Development Life Cycle (SDLC) best practices, source code management, CI/CD processes, and Azure DevOps/GitHub integration.
- Experience supporting multiple clients in regulated and compliance-driven environments.
- Ability to collaborate effectively across teams to implement and promote data management frameworks and governance standards.
- Demonstrated ability to troubleshoot complex data and system issues.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Experience supporting data management and analytics initiatives for Pharmaceutical or Life Sciences organizations.

Hands-on experience with data-centric platforms and implementations, including CRM/SFA solutions and Business Intelligence tools.

Experience working with Salesforce, Veeva CRM, or similar customer relationship management platforms.

Prior experience with Veeva Network and Master Data Management solutions.

Knowledge of Pharmaceutical and Life Sciences data ecosystems, including customer master, sales, and commercial data domains.

Microsoft Azure Data Engineer certifications such as DP-203 and/or DP-700.





Databricks Certified Data Engineer Associate certification.

Experience working in Agile environments using tools such as Jira and Confluence.

Exposure to Artificial Intelligence and Generative AI technologies, including experience designing, developing, and deploying AI-powered agents and automation solutions.

Familiarity with modern data architectures, data governance practices, and cloud-native analytics platforms.

Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

The Engineer II develops and delivers clean maintainable solutions based on Big Data applications that fulfill the strategic vision for enterprise while driving business value and innovation. Performs the full deployment lifecycle, using Azure Cloud Technologies, including installation, configuration, initial production deployment for Data Lake. Evaluates and provides technical solutions to design, develop, and support business units wishing to implement a Big Data solution. Refines raw data into a presentation layer for analytics systems. Develops applications that can interact with the data in the most appropriate way, from batch to interactive SQL.

📌 Data Engineer - ML & AI (Secunderabad)
🏢 Syneos Health
📍 Secunderabad