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.
Responsibilities:
A Data Engineer should be able to build, operationalize 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)
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
Qualifications:
3+ years of professional technical experience
3+ years of hands on DBT experience.
3+ years of hands-on Data Warehousing.
3+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake
2+ years of programming languages such as Python
3+ years of experience working in cloud environments (Azure)
2 years of experience in Redshift
Strong client-facing communication and facilitation skills
Key Skills:
Python, Azure Cloud, Redshift, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Data Engineering, Snowflake, SQL/RDBMS, OLAP
