Senior Data Engineer

Summary

Join AHEAD, a leading platform builder for digital business, as a Senior Data Engineer to design, build, and support modern data environments in the public cloud or multi-cloud enterprise architectures.

Requirements

• 6+ years of professional technical experience
• 4+ years of hands-on Data Architecture and Data Modelling
• 4+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake
• 4+ years of programming languages such as Python
• 2+ years of experience working in cloud environments (AWS and/or Azure)

Responsibilities

• 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 to estimate and deliver work inside of a sprint
• Research data questions, identifies root causes, and interacts closely with business users and technical resources

Benefits

• Medical, Dental, and Vision Insurance
• 401(k)
• Paid company holidays
• Paid time off
• Paid parental and caregiver leave