Sr Data Engineer

• Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets
• Build highly efficient data pipelines to migrate and deploy complex data across systems, with an understanding of biotech/pharma/manufacturing or related domains
• Design and implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments
• Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB, etc.), APIs, logs, event streams, images, PDFs, and third-party platforms
• Ensure data integrity, accuracy, and consistency through rigorous quality checks and monitoring
• Innovate, explore, and implement new tools and technologies to enhance efficient data processing
• Stay updated with the latest design trends and techniques to ensure the best data engineering
• Proactively identify and implement opportunities to automate tasks and develop reusable frameworks
• Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value
• Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories
• Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle
• Collaborate and communicate effectively with product teams and cross-functional teams to understand business requirements and translate them into technical solutions

• Any degree and 9 to 12 years of Computer Science, IT or related field experience
• Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL, Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies
• Proficiency in workflow orchestration and performance tuning on big data processing
• Strong understanding of AWS services
• Ability to quickly learn, adapt, and apply new technologies
• Strong problem-solving and analytical skills
• Excellent communication and teamwork skills
• Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices

• Experience with AI assisted code development using tools like GitHub Copilot, Cursor, Claude Code
• Data engineering experience in biotechnology or pharma industry
• Experience in writing APIs to make data available to consumers
• Experience with SQL/NoSQL databases, vector databases for large language models
• Experience with data modeling and performance tuning for both OLAP and OLTP databases
• Experience with software engineering best practices, including version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven, etc.), automated unit testing, and DevOps
• Experience with manufacturing related data sources like SCADA, Data Historians is a plus
• AWS Certified Data Engineer preferred
• Databricks Certificate preferred
• Scaled Agile SAFe certification preferred
• Excellent analytical and troubleshooting skills
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to manage multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Ability to learn quickly, be organized, and detail-oriented
• Strong presentation and public speaking skills

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards