Senior Technical Consultant - Data & Analytics - AHEAD

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

At AHEAD , we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD .

We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.

We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD .

AHEAD is looking for a Senior Data Engineer to work closely with our dynamic project teams (both on-site and remotely). This Senior Data Engineer will be responsible for strategic planning and hands-on engineering of Big Data and cloud environments that support our clients’ advanced analytics, data science, and other data platform initiatives. This consultant will design, build, and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. They will be expected to be hands-on technically, but also present to leadership, and lead projects.

The Senior Data Engineer will have responsibility for working on a variety of data projects. This includes orchestrating pipelines using modern Data Engineering tools/architectures as well as design and integration of existing transactional processing systems. As a Senior Data Engineer, you will design and implement data pipelines to enable analytics and machine learning on rich datasets.

Roles and Responsibilities

• A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems
• Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset
• Implement custom applications using tools such as Kinesis, Lambda and other cloud native tools as required to address streaming use cases
• Engineers and supports data structures including but not limited to SQL and NoSQL databases
• Engineers and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop)
• Engineers API’s for returning data from these structures to the Enterprise Applications
• Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions
• Respond to customer/team inquiries and assist in troubleshooting and resolving challenges
• Works with other scrum team members