Data Engineer – Snowflake and AWS

About this role

About the role

As a Senior Data Engineer – Snowflake and AWS , you will make an impact by designing and delivering scalable data solutions while modernizing legacy data platforms. You will be a valued member of the Data Engineering team and work collaboratively with architects, data scientists, and cross-functional stakeholders to drive large-scale data transformation initiatives.


In this role, you will:
Lead end-to-end Oracle-to-Snowflake data migration initiatives, ensuring data integrity and performance optimization

Design, build, and maintain scalable ETL pipelines and cloud-based data architectures

Develop and optimize complex SQL queries and data models for analytics and reporting

Leverage AI-driven tools and automation techniques to accelerate data transformation, validation, and migration processes

Collaborate with cross-functional teams to modernize legacy systems and implement best practices in data engineering

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.


What you need to have to be considered:
8+ years of experience in data engineering, including strong ETL development expertise

Hands-on experience with Snowflake in enterprise-scale implementations

Advanced SQL skills with experience in Oracle databases

Solid programming experience with Python for data processing and automation

Experience working on large-scale data migration or transformation projects

Understanding of data pipeline design,...