Associate Data Engineer

Job Description Summary Step into the world of data-driven innovation at Novartis, where your curiosity and analytical mindset can make a real difference. As an Associate Engineer in our DDIT US&I team, you’ll help shape smarter decisions by transforming complex data into meaningful insights. This is your opportunity to work alongside experienced professionals, contribute to impactful projects, and grow your skills in a collaborative, inclusive environment that values fresh perspectives and bold ideas.   Job Description Major accountabilities: ·       - Bachelor’s degree in computer science, engineering, statistics, or a related field ·       - Strong analytical and problem-solving skills to interpret complex data sets ·       - Familiarity with SQL, Python, and data visualization tools like Power BI ·       - Effective communication skills to present insights clearly to stakeholders ·       - Ability to work collaboratively in cross-functional teams ·       - High attention to detail to ensure data accuracy and quality ·       - Eagerness to learn and grow in a fast-paced, data-driven environment ·       - Cloud platforms (AWS, Azure) awareness around decoupled, scalable and distributed components

Essential Requirements ·       - Bachelor’s degree in computer science, engineering, statistics, or a related field ·       - Strong analytical and problem-solving skills to interpret complex data sets ·       - Familiarity with SQL, Python, and data visualization tools like Power BI ·       - Effective communication skills to present insights clearly to stakeholders ·       - Ability to work collaboratively in cross-functional teams ·       - High attention to detail to ensure data accuracy and quality ·       - Eagerness to learn and grow in a fast-paced, data-driven environment ·       - Cloud platforms (AWS, Azure) awareness around decoupled, scalable and distributed components

Location: Hyderabad

  Skills Desired Clinical Data Management, Databasing, Data Entry, Data Management, Data Science, Detail-Oriented