Engineer Data

Drives world-class design and development of analytical data pipelines.

Provides thought leadership and propose industry standards and implementations.

Adhere to processes to ensure data pulled from various sources meets quality standards, is curated and enhanced for analytical use and there is a "single source of truth"

Work with counterparts from Tech to build frameworks that integrate data pipelines and machine learning models that facilitate use by data scientists for priority use cases; Enterprise Data and Analytics team focused on "last mile" transformations on select data required for use cases

Maintain database structure and standard definitions for business users.

Work with data architects to build the foundational extract / load / transform process and regularly review the architecture and recommend effectiveness improvements

Collaborate with Technology to future-proof data & analytics software, tools, and code to reduce risk and support pipeline owners

Work with Legal and Privacy teams to adhere to data privacy and security standards

Work with Data Architect to implement the data models, standards, and quality rules

Work with the Data Science team to understand data formatting and sourcing needs to enable them to build out use cases as efficiently as possible.

Keep data separated and secured using masking and encryption.

Explain the requirement to offshore team and create Interface to determine the most efficient and cost-effective approach to meet business requirements.

Daily onsite-offshore coordination