Data Engineer: Databricks/Snowflake on AWS

Megazone Cloud US; Irvine (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Megazone Cloud US seeks a Data Engineer to be the backbone of our data-driven culture. You are a builder with a startup mindset, thriving in an environment where you can move fast and see your work impact customers.

You will design, build, and scale data pipelines on AWS, own the data ecosystem with Databricks or Snowflake, and write Python and SQL code to solve complex data challenges. Collaboration across teams is essential.

Qualifications

• 3-5+ years of professional data engineering experience.
• 2-3+ years hands-on Python experience.
• 2-3+ years hands-on SQL experience.
• Proven experience with Databricks OR Snowflake (certifications a plus).
• Solid experience building data solutions on AWS.
• Experience in data wrangling and robust pipelines.
• Builder mindset and startup mentality with strong curiosity.
• Excellent communication and collaborative skills.

Responsibilities

• Design, build, and scale high-performance data pipelines and infrastructure on AWS.
• Own the data ecosystem using Databricks and/or Snowflake to wrangle, transform, and prepare data for analysis and product use.
• Write clean, optimized Python and SQL code to solve complex data challenges.
• Collaborate with data science, development, and infrastructure teams to tackle big projects.
• Be a flexible builder in a startup, contributing across diverse challenges.

Skills

Python

SQL

Databricks

Snowflake

AWS

Data wrangling

Communication

Team collaboration

Tools

Databricks

Snowflake

AWS

Job description

Megazone Cloud US seeks a Data Engineer to be the backbone of our data-driven culture. You are a builder with a startup mindset, thriving in an environment where you can move fast and see your work impact customers.

You will design, build, and scale data pipelines on AWS, own the data ecosystem with Databricks or Snowflake, and write Python and SQL code to solve complex data challenges. Collaboration across teams is essential.