Data Engineer II
Syneos Health2 months ago
Hyderābād, IndiaMid Level
Responsibilities
- Provide technical guidance and support to development teams and clients throughout the solution lifecycle.
- Troubleshoot complex issues in cloud-based data lake, data mesh, big data, and NoSQL environments.
- Design and implement scalable and secure cloud solutions for big data platforms.
- Develop and optimize data pipelines for high-volume and high-velocity data streams using distributed cloud computing.
- Tune big data and NoSQL environments and analyze the impact of distributed jobs on data processing, analytics, and machine learning.
- Implement mixed batch and near-real-time architectures to analyze, index, and publish data for applications.
- Create and maintain solution design, configuration, and best-practice documentation.
- Provide solution architecture training and support to clients and internal teams.
- Conduct presentations, demonstrations, and workshops.
- Support data management frameworks and governance standards across teams and clients.
Requirements
- At least 5 years of experience in database development, master data management, and data integration initiatives.
- At least 5 years of hands-on experience designing and implementing ETL/ELT solutions with Azure Data Factory, Azure Functions, Logic Apps, and Azure Databricks.
- Strong expertise with Azure Databricks and PySpark for scalable, high-performance data pipelines.
- Strong SQL development skills, including writing, optimizing, and troubleshooting complex queries in Azure-based or other relational database platforms.
- Understanding of software development lifecycle practices, source code management, CI/CD processes, and Azure DevOps/GitHub integration.
- Experience supporting multiple clients in regulated and compliance-driven environments.
- Ability to translate business requirements into scalable technical solutions and troubleshoot complex data and system issues.
- Strong collaboration, communication, organizational, analytical, problem-solving, and stakeholder-engagement skills.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is preferred.
- Preferred experience includes pharmaceutical or life sciences data initiatives, CRM/SFA and business intelligence platforms, Salesforce, Veeva CRM, Veeva Network, master data management, and relevant pharmaceutical data domains.
- Preferred certifications include Microsoft Azure Data Engineer certifications such as DP-203 or DP-700 and Databricks Certified Data Engineer Associate.
- Preferred experience includes Agile environments using Jira and Confluence, modern data architectures, data governance, cloud-native analytics platforms, and AI or generative AI agent and automation solutions.
Benefits
- Career development and progression opportunities.
- Supportive and engaged line management.
- Technical and therapeutic area training.
- Peer recognition and a total rewards program.
- Inclusive culture focused on enabling employees to be themselves.
- Reasonable accommodations are available when appropriate under the Americans with Disabilities Act.
About Syneos Health
Syneos Health provides outsourced clinical development and commercialization services to pharmaceutical and biotech companies, spanning clinical trials, medical affairs, and product launch support. The company operates under fee-for-service and functional service provider models across global drug development. Headquartered in Morrisville, NC, it was formed in 2017 through the merger of INC Research and inVentiv Health and was acquired in 2023 by affiliates of Elliott Management.