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Novartis

Data Engineering Manager

LocationHyderabad (Office)
Work modeon-site
Typefull-time
DepartmentData Engineering
Company size10,000+ people
First seen1d ago
Last seen1d ago
Job Description Summary
As a Data Engineer Manager, you’ll lead the data engineering team and support the data science and/or reporting & analytics team inbuilding scalable Commercial solutions to enhance the medical/sales representative actionable. You’ll be at the forefront of cloud-based data integration, driving automation, quality, and efficiency while collaborating with cross-functional teams to deliver impactful insights. This is your opportunity to make a real difference in global healthcare through cutting-edge data engineering.
Job Description
Major accountabilities:
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Design scalable data ingestion and integration solutions to support data products for data science and reporting & analytics.
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Ensure data quality by applying business and technical rules throughout its lifecycle.
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Identify and implement automation opportunities to streamline data processes.
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Build data pipelines using Python and CI/CD workflows for seamless data integration.
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Collaborate with solution architects and vendors to align with best practices.
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Apply data management principles including modelling, harmonization, and ontology standards.
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Manage metadata effectively and leverage enterprise ontology tools.
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Ensure adherence to FAIR data principles across applicable projects.
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Conduct feasibility assessments and define project requirements with stakeholders.
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Support end-user training and promote self-service data capabilities.
Minimum Requirements:
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University degree in Informatics, Computer Sciences, Life Sciences, or a related field.
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7+ years of experience in data engineering with good understanding of healthcare or life sciences. Experience with Commercial is a plus.
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Proven expertise in Python, PySpark and R for ETL and BI data product development.
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Strong experience with DevOps, AWS cloud data integration and third-party ingestion tools.
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Proficiency in SQL for relational databases such as Oracle and MS SQL Server.
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Proficiency in Cloud based databases like Snowflake is a plus.
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Hands-on experience with ETL tools and BI platforms like Power BI.
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Solid understanding of data architecture, modelling, and analytics concepts.
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Familiarity with Agile methodologies in global project environments.
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Understanding of Data science concepts is a plus
Skills Desired
Clinical Data Management, Cross-Functional Team, Data Architecture, Data Governance, Data Management, Data Quality, Data Science, Data Strategy, Drug Development, Master Data, People Management, Agile/Scrum
Skills Desired
Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Waterfall Model
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