Job Description

Summary -Provide analytics support to IMO team on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics.

Key Responsibilities:
Data Pipeline Development:
Design, implement, and maintain efficient ETL/ELT pipelines to process large-scale data.
Automate data workflows and optimize pipelines using Python and Dataiku.
Data Integration and Collaboration:
Work closely with data analysts, scientists, and business stakeholders to understand requirements and ensure the delivery of accurate and timely data solutions.
Ensure seamless integration of third-party data sources and APIs into the data ecosystem.
Performance Optimization:
Optimize infrastructure, pipeline performance, and resource utilization for cost efficiency and scalability.
Develop robust monitoring and error-handling solutions to ensure data pipeline reliability.
Governance and Security:
Implement data quality frameworks, governance policies, and security best practices.
Ensure compliance with organizational and regulatory data standards.
Continuous Improvement:
Keep up with industry trends, explore emerging technologies, and recommend tools/processes to enhance the data engineering function.
Participate in code reviews, share best practices, and mentor junior team members when needed.
Required Skills & Qualifications:
Experience: 3-7 years of professional experience in data engineering or related fields.
Programming: Strong proficiency in Python with experience in writing clean and efficient code for data manipulations and pipelines.
Data Platforms: Hands-on expertise in Dataiku for building workflows and automating tasks.
Big Data Frameworks: Experience with Databricks to process and analyze large-scale datasets.
Cloud Data Warehousing: Proficiency in Snowflake database design, query optimization, and data warehouse management.
ETL/ELT: Expert knowledge of building ETL pipelines and designing scalable solutions.
SQL: Advanced SQL skills for querying, transforming, and optimizing relational databases.
Problem-Solving: Strong analytical and troubleshooting abilities, with experience solving complex data challenges.
Communication: Excellent written and verbal communication skills to interact with varied stakeholders effectively.
Nice-to-Have Skills:
Familiarity with other cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience working with distributed systems and big data technologies like Spark is a plus.
Exposure to machine learning use cases and familiarity with deployment pipelines.
Skills Desired Advertising Campaigns, Alteryx, Analytical Thinking, Brand Awareness, Business Networking, Curiosity, Digital Marketing, Email Marketing, Marketing Communications, Marketing Plans, Marketing Strategy, Media Campaigns, Process Documentation, Strategic Marketing

Skills Required