Senior Data Engineer (AWS) - Remote

Overview

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

In Short

• 5+ years of experience in data engineering;
• Experience in AWS;
• Experience handling real-time and batch data flow and data warehousing;
• Proficiency in Python and SQL;
• Proficiency with Infrastructure as Code (IaC) technologies;
• Experience in building scalable APIs;
• Familiarity with Data Governance aspects;
• Upper-Intermediate or higher English skills;
• Ability to take ownership and solve problems proactively;
• Collaborate effectively in dynamic settings.

Requirements

• Experience with Cloud Data Platforms (e.g., Snowflake, Databricks);
• Experience in building Generative AI Applications;
• Relevant AWS, GCP, Azure, Databricks certifications;
• Knowledge of BI Tools;
• Experience in building Data Solutions in a Data Mesh architecture.

Benefits

• Long-term B2B collaboration;
• Paid vacations and sick leaves;
• Public holidays;
• Compensation for medical insurance or sports coverage;
• External and Internal educational opportunities and AWS certifications;
• A collaborative local team and international project exposure.