Senior Analyst

Key Responsibilities:
Data Pipeline Development: Design, implement, and maintain efficient ETL/ELT pipelines to process large-scale data. Automate data workflows and optimize pipelines using Python and Dataiku. Data Integration and Collaboration: Work closely with data analysts, scientists, and business stakeholders to understand requirements and ensure the delivery of accurate and timely data solutions. Ensure seamless integration of third-party data sources and APIs into the data ecosystem. Performance Optimization: Optimize infrastructure, pipeline performance, and resource utilization for cost efficiency and scalability. Develop robust monitoring and error-handling solutions to ensure data pipeline reliability. Governance and Security: Implement data quality frameworks, governance policies, and security best practices. Ensure compliance with organizational and regulatory data standards. Continuous Improvement: Keep up with industry trends, explore emerging technologies, and recommend tools/processes to enhance the data engineering function. Participate in code reviews, share best practices, and mentor junior team members when needed. Required Skills & Qualifications: Experience: 3–7 years of professional experience in data engineering or related fields. Programming: Strong proficiency in Python with experience in writing clean and efficient code for data manipulations and pipelines. Data Platforms: Hands-on expertise in Dataiku for building workflows and automating tasks. Big Data Frameworks: Experience with Databricks to process and analyze large-scale datasets. Cloud Data Warehousing: Proficiency in Snowflake database design, query optimization, and data warehouse management. ETL/ELT: Expert knowledge of building ETL pipelines and designing scalable solutions. SQL: Advanced SQL skills for querying, transforming, and optimizing relational databases. Problem-Solving: Strong analytical and troubleshooting abilities, with experience solving complex data challenges. Communication: Excellent written and verbal communication skills to interact with varied stakeholders effectively. Nice-to-Have Skills: Familiarity with other cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience working with distributed systems and big data technologies like Spark is a plus. Exposure to machine learning use cases and familiarity with deployment pipelines.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network

Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards