Data Science and Engineering Lead
1 day ago
About the Role:
The successful candidate will play a pivotal role in shaping our data strategy, ensuring seamless data integration, and driving informed business decisions.
Responsibilities:
- Develop and maintain ETL processes using Airflow, Python, PySpark, and SQL.
- Collaborate with cross-functional teams to understand business requirements and design effective data solutions.
- Leverage AWS services to optimize data processing, storage, and analytics.
Skills and Qualifications:
- Expertise in data engineering, data analytics, and business intelligence.
- Proficiency in Python, PySpark, SQL, and AWS services.
- Strong understanding of ETL processes, data warehousing, and data quality.
- Excellent communication and project management skills.
- Familiarity with pharma or life sciences data is a plus.
Estimated Salary: ₹1300000 - ₹1900000 per annum
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