Senior Data Engineer – Data & AI Platforms
Novartis (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 22–40 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable data pipelines and platforms using AWS, Snowflake, Python, and Apache Spark to support advanced analytics and AI initiatives.
- Implement data quality, governance, and metadata management frameworks ensuring compliance, security, and operational efficiency.
- Collaborate with stakeholders across product, architecture, and platform teams while mentoring engineers and promoting engineering best practices.
Minimum Requirements
- 7+ years experience building modern data solutions with Snowflake, SQL, Python, Apache Spark, and cloud technologies (AWS preferred).
- Hands-on experience with AWS services including Glue, S3, Lambda, Step Functions, and workflow orchestration.
- Proven expertise in ETL/ELT processes, data modeling, orchestration, performance optimization, and data governance including metadata management and lineage.
- Work Experience Required: Minimum 7 years building data solutions; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in delivering enterprise-grade data platforms enabling AI/ML and advanced analytics in cloud-native environments.
- Capable of implementing and enforcing data governance and compliance standards within complex data ecosystems.
- Skilled at mentoring engineering teams and driving adoption of software engineering best practices like CI/CD, automated testing, and version control.