Data Engineering Manager

Summary

We are seeking a highly skilled and motivated GCP Data Engineering Manager to join our dynamic team. As a Data Engineering manager specializing in Google Cloud Platform (GCP), you will play a crucial role in designing, implementing, and maintaining scalable data pipelines and

systems. You will leverage your expertise in Google Big Query, SQL, Python, and analytical skills to drive data-driven decision-making processes and support various business functions.

About The Role

Key Responsibilities:

• Data Pipeline Development: Design, develop, and maintain robust data pipelines using GCP services like Dataflow, Dataproc, ensuring high performance and scalability.
• Google Big Query Expertise: Utilize your hands-on experience with Google Big Query to manage and optimize data storage, retrieval, and processing.
• SQL Proficiency: Write and optimize complex SQL queries to transform and analyze large datasets, ensuring data accuracy and integrity.
• Python Programming: Develop and maintain Python scripts for data processing, automation, and integration with other systems and tools.
• Data Integration: Collaborate with data analysts, and other stakeholders to integrate data from various sources, ensuring seamless data flow and consistency.
• Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to maintain high data standards.
• Performance Tuning: Monitor and optimize the performance of data pipelines, queries, and storage solutions to ensure efficient data processing.
• Documentation: Create comprehensive documentation for data pipelines, processes, and best practices to facilitate knowledge sharing and team collaboration.
  
  

Minimum Qualifications

• Proven experience (minimum 6 – 8 yrs) in Data Engineer, with significant hands-on experience in Google Cloud Platform (GCP) and Google Big Query.
• Proficiency in SQL for data transformation, analysis and performance optimization.
• Strong programming skills in Python, with experience in developing data processing scripts and automation.
• Proven analytical skills with the ability to interpret complex data and provide actionable insights.
• Excellent problem-solving abilities and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in a team enviro
  
  

Desired Skills

• Experience with Google Analytics data and understanding of digital marketing data.
• Familiarity with other GCP services such as Cloud Storage, Dataflow, Pub/Sub, and Dataproc.
• Knowledge of data visualization tools such as Looker, Tableau, or Data Studio.
• Experience with machine learning frameworks and libraries.
  
  

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network

Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

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