AWS Data Engineer

RemoteLeads; Northern (KY); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Client holiday calendar.

Nearshore delivery model focused on成本效

Nearshore delivery model focused on成本效

Job summary

RemoteLeads is seeking a senior data engineer to design and implement robust AWS-based data platforms for a CST-friendly remote engagement in the United States. You will build data pipelines, data marts, warehouses, and data lakes, and define end-to-end data flows in collaboration with architects and stakeholders.

You will work with Snowflake, Cortex, Cortex Code, and AI functions to operationalize analytics solutions and hand off outcomes to production teams.

Qualifications

• 6-9 years of hands-on data engineering experience.
• Hands-on experience with AWS Lambda.
• Hands-on experience with AWS S3.
• Hands-on experience with databases and related AWS services.
• Hands-on experience with Snowflake, including Cortex, Cortex Code, and AI functions.
• Strong fundamentals in data marts, data warehouses, data lake design, data modeling, and process flow.
• Ability to produce initial architecture drafts independently for architectural review.
• Senior-level data engineering experience; application or app development experience is not the target profile.
• Engagement length of 6 months or less.
• Ability to work in CST time zone.

Responsibilities

• Design AWS data engineering components including Lambda, S3, and database integrations.
• Build and operate data pipelines that integrate AWS systems with Snowflake.
• Implement Snowflake AI components, including Cortex, Cortex Code, and AI functions.
• Own the design and implementation of data marts, data warehouses, and data lakes.
• Develop data models and define end-to-end process flows for data integration.
• Produce initial architecture drafts independently for architectural review.
• Collaborate with architects and stakeholders to refine designs and align with project goals.
• Deliver senior-level data engineering solutions and hand off work to operational teams.

Skills

Data architecture

Data modeling

Senior data engineering

Tools

AWS Lambda

AWS S3

Snowflake

Snowflake Cortex

Snowflake Cortex Code

Snowflake AI functions

AWS Services

Job description

Description

• Design AWS data engineering components including Lambda, S3, and database integrations.
• Build and operate data pipelines that integrate AWS systems with Snowflake.
• Implement Snowflake AI components, including Cortex, Cortex Code, and AI functions.
• Own the design and implementation of data marts, data warehouses, and data lakes.
• Develop data models and define end-to-end process flows for data integration.
• Produce initial architecture drafts independently for architectural review.
• Collaborate with architects and stakeholders to refine designs and align with project goals.
• Deliver senior-level data engineering solutions and hand off work to operational teams.

Requirements

• 6-9 years of hands-on experience in data engineering.
• Hands-on experience with AWS Lambda.
• Hands-on experience with AWS S3.
• Hands-on experience with databases and related AWS services.
• Hands-on experience with Snowflake, including Cortex, Cortex Code, and AI functions.
• Strong fundamentals in data marts, data warehouses, data lake design, data modeling, and process flow.
• Ability to produce initial architecture drafts independently for architectural review.
• Senior-level data engineering experience; application or app development experience is not the target profile.
• Engagement length of 6 months or less.
• Ability to work in CST time zone.

Benefits

• Client holiday calendar.
• Nearshore delivery model focused on cost efficiency.