Data Engineer (Final round in person at NYC)

Role: Data Engineer Location: 3 days work from NYC, NY

Full Time

Skillset: Snowflake, complex SQL queries, performance tuning, Python, Airflow, Data Modelling & proficiency in using AI

Key Responsibilities:
Develop and maintain data platform pipelines and data integration processes.
Support the implementation of conceptual, logical, and physical data models.
Build and maintain data transformations using dbt and contribute to scalable, reliable data solutions.
Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products.
Apply data engineering concepts and technologies, including AWS services (S3, Lambda, SNS, SQS), Iceberg, Snowflake, dbt, and Airflow.
Participate in Agile/Scrum ceremonies and contribute to team planning and continuous improvement efforts.
Work with product managers, architects, and engineers to support the Core Data Platform roadmap.
Follow established standards and best practices for data pipelines, naming conventions, and platform development.
Monitor and support the quality, reliability, and operational health of data platform datasets and pipelines.
Contribute to documentation of data assets, processes, and platform standards.
Partner with stakeholders to understand business requirements and support delivery of data solutions.
Maintain documentation to support data quality, governance, and operational requirements.

Qualifications:
7+ years of experience developing and supporting data pipelines.
Understanding of data modeling concepts, including dimensional modeling and data normalization principles.
Proficiency in at least one program