Job Description:

Data Engineer should design so that data products and data pipelines are resilient to change, modular, flexible, scalable, reusable, and cost-effective

Job Responsibilities:

Responsible for normalizing and ingesting data from multiple sources
Understand business use of data and stakeholder requirements to support work processes and strategic business objectives.
Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.
Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
Contributing to the inner source development of foundational tools, and/or the deployment of technical services

Job Requirements/Qualifications:

Innovation & Growth Mindset – Provide feedback & be receptive to feedback received. Share best practices.
Challenge the status quo. Simplify processes. Seek opportunities to grow skills.
Teamwork and Collaboration – Connect on shared goals. Offer suggestions & solutions. Recognize others contributions. Work collaboratively in an agile construct & seek diverse perspectives. Manage tasks that span support groups, end users and vendors resources. Works well with global teams and across time zones
Knowledge and/or experience with data acquisition, preparation and validation; data movement and transformation; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory, Azure Data Bricks,
Azure Logic Apps and SQL expertise
Leadership (Align & Inspire) – Prioritize & take ownership of work. Communicate progress. Listen to understand intent & needs. Adjust communication for audience. Be comfortable driving discussions clearly with a wide range of partners and levels of the organization