Job Summary:
MegazoneCloud US is seeking a Data Engineer to support their data-driven culture. The role involves designing, building, and maintaining data pipelines and infrastructure on AWS, while collaborating with cross-functional teams to tackle complex data challenges.
Responsibilities:
โข Design, build, and scale: Create and maintain resilient, high-performance data pipelines and infrastructure on AWS.
โข Own the data ecosystem: Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and prepare data for analysis and product use.
โข Write mission-critical code: Develop clean, optimized, and automated solutions using Python and SQL to solve complex data challenges.
โข Collaborate and multiply: Work as a 'force multiplier' within our cross-functional teams, partnering with data science, development, and infrastructure to tackle big-picture projects.
โข Be a flexible builder: Embrace a 'builder' mentality. In a startup, you'll have the flexibility to work on diverse challenges and your ideas will be heard, from intern to executive.
Qualifications:
Required:
โข 3-5+ years of professional data engineering experience.
โข 2-3+ years of hands-on experience with Python.
โข 2-3+ years of hands-on experience with SQL.
โข Proven, professional experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
โข Solid experience building and managing data solutions on AWS.
โข Proven experience in data wrangling and building robust data pipelines.
โข A 'builder' mindset, a startup mentality, and a genuine thirst for knowledge.
โข Exceptional communication skills and the flexibility to think fast.
โข A strong team-player mentality, with experience navigating team dynamics and collaborating effectively to solve problems.
Preferred:
โข Experience with GenAI, AI/ML frameworks, and MLOps.
โข Certifications in Databricks, Snowflake, or AWS.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.