Sr Data Engineer

Description:

Do you want to effect change? Do you want to be on the bridge, providing insights to help shape our course of action? We are looking for a Data Rockstar! The ideal candidate will have experience leveraging data mining technologies (Starburst, Hadoop, Scala, SQL, Python, Tableau, etc.) and developing data pipelines supporting dashboards which provide a clear and transparent data-driven story to multiple levels of the organization. The work will require ingenuity, vision, and the capability to cultivate strong partnerships across multiple departments to develop pipelines, SOT data solutions, operational metrics, and insights that help guide our Cloud and Infrastructure strategy.

To be successful, the candidate should have a background in data ingestion, modeling, algorithm development, data validation, and data governance. Experience with Big Data, analytics, statistics, creative problem solving, and building intra-departmental relationships ideal.

In this role, you will be a member of a team that supports analytics for global infrastructure and cloud operations, where you will help drive Cloud and Infrastructure strategy leveraging AI, Machine Learning, and other advanced Analytics to inform our go-forward enterprise strategies.

Objectives and Responsibilities

• Ingest and curate business-relevant structured and unstructured datasets from multiple data sources.
• Develop and maintain data models for efficient storage and extraction of data.
• Leverage algorithms to transform relevant data into actionable information.
• Create data validation methods that enforce and follow all company policies and procedures to ensure data integrity.
• Automate data management, validation, and ETL tasks via data pipelines.
• Execute data engineering projects to extract, manage, and analyze data from multiple applications, ensuring deadlines are met.
• Act as a liaison between Cloud Capacity Engineering, data governance, data analytics, and Big Data engineering teams.
• Identify business opportunities, capabilities, and solutions that deliver customer satisfaction.
• Define critical KPIs and build operational dashboards to help teams drive operational rigor and manage performance.
• Deliver reliable and coherent data models for organizational-wide dashboards, including forecasting, planning, deployment, incident, and problem management, and change management analytics across Cloud/Infrastructure & Operations
• Develop and manage analytics development workspaces and environments,
• Solve and present solutions to complex problems in an understandable way to stakeholders, business leaders, and executives.
• Remain engaged and involved with industry best practices and policies.