Senior Data Engineer in Data Ingestion team at Novo Nordisk, designing scalable data solutions for analytics, AI, and research. Building robust applications and pipelines to support operational use cases.
About the role
- Lead Data Engineer responsible for designing and implementing enterprise data platform at Ness Digital Engineering. Collaborating across teams to optimize performance and ensure data integrity in engineering processes.
Responsibilities
- Lead the data architecture and engineering strategy, ensuring alignment with business and technology roadmaps.
- Design and implement data models, pipelines, and data integration frameworks across multiple platforms.
- Partner with stakeholders to translate business requirements into scalable data solutions.
- Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.
- Drive adoption of best practices in data engineering design patterns and modern cloud architectures.
- Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.
- Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.
- Mentor and guide data engineering teams (onsite & offshore) to deliver high-quality outcomes.
- Ensure compliance with data governance, security, and privacy standards.
- Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.
- Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field
- 8+ years of experience in data engineering with a strong focus on Data Architecture, Data Modelling (Conceptual, Logical, Physical), ELT processes and data pipeline development.
- Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.
- Proficiency in SQL and familiarity with data integration and ETL/ELT tools.
- AWS Technologies (Glue, EMR)
- Python for data engineering workflows
- Strong understanding of data engineering design patterns
- Strong problem-solving skills and the ability to work independently to meet deadlines.
- Excellent communication skills for effectively interacting with technical and non-technical stakeholders.
Benefits
- Flexible remote options
- Access to development resources
Job title
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Not specified
Degree requirement
Tech skills
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