Senior Global Data Engineer
Hybrid · Telangana, India
Job Summary
Design, develop, and maintain scalable and robust data pipelines on Databricks. Collaborate with domain-specific Stakeholder Success Teams to understand data requirements and deliver solutions. Collaborate with data architects for the data modelling through bronze, silver, gold layer. Collaborate with source teams and other dependent teams to ensure smooth and successful integration. Optimize and troubleshoot existing data pipelines for performance and reliability. Ensure data quality and integrity across various data sources. Implement data security and compliance best practices. Monitor data pipeline performance and conduct necessary maintenance and updates. Document data pipeline processes, technical specifications and data models.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field
- 3+ years of experience in data engineering
- Strong background in the pharmaceutical industry and its related data
- Proficiency with Databricks, pyspark, AWS and Python
- Strong SQL skills
- Experience with big data technologies
- Knowledge of data warehousing concepts and ETL processes
- Excellent problem-solving and analytical skills
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