Senior Data Engineers

Natixis Investment Managers is seeking a Senior Data Engineer to design, build and manage data pipelines that power applications and drive business decisions. The role involves collaborating with teams to create high-quality data solutions while ensuring data integrity and optimizing performance.

Responsibilities:

• Design, develop, and maintain scalable data pipelines to ingest, process, and transform data from various sales and marketing systems such as Salesforce, Pardot and Adobe Analytics into the enterprise data warehouse
• Conduct business and systems analysis, design, implementation and the testing of data solutions to meet and exceed the expectations of our business partners and regulators
• Self-manage projects, participate in strategy and architecture reviews and help shape the direction of data management within the organization
• Ensure data quality, integrity, and consistency by implementing data validation and cleansing processes
• Develop strong domain expertise and lead all aspects of the SLAs for those data pipelines
• Collaborate with various teams, including data scientists, analysts, and business partners, to understand data requirements and deliver high-quality data solutions
• Optimize and tune data pipelines for performance, scalability, and consistency with recommended design patterns
• Monitor and address data pipeline issues and collaborate with our support teams to ensure timely and accurate data delivery
• Stay up to date with the latest industry trends in data engineering and financial services, following standard methodologies

Requirements:

• Bachelor's degree in computer science, information technology, or related field
• Eight (8) years of progressively more responsible experience as a software engineer with a focus on data
• Expertise to efficiently extract data from databases, CRM systems, and APIs to build maintainable and supportable ETL code using Informatica gained through eight (8) years of work experience
• Ability to extract data from multiple data sources using Python gained through three (3) years of work experience
• Expertise in SQL for ETL and data warehousing applications gained through eight (8) years of work experience
• Proficiency with data warehousing and financial datasets gained through five (5) years of work experience
• Ability to architect and design data pipeline and data warehouse solutions for the whole software development life cycle gained through five (5) years of work experience
• Ability to develop solutions on AWS or other public cloud services gained through five (5) years of work experience