Data Engineer - Remote

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June 3

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RemoteStar

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B2B • Recruitment • SaaS

RemoteStar is a global recruitment service that specializes in hiring top-quality tech talent. By assembling diverse teams with vetted developers from various regions, RemoteStar ensures high-quality staffing while maximizing cost efficiency for companies. The service includes a rigorous vetting process, technical matching, and full onboarding support, allowing businesses to focus on their core operations while RemoteStar handles the administrative aspects of recruitment and team management.

11 - 50 employees

Founded 2020

🤝 B2B

🎯 Recruiter

☁️ SaaS

📋 Description

• As a Data Engineer, you will be instrumental in managing our extensive soil carbon dataset and creating robust data systems. • You are expected to be involved in the full project lifecycle, from planning and design, through development, and onto maintenance including pipelines and dashboards. • You’ll interact with Product Managers, Project Managers, Business Development and Operations teams to understand business demands and translate them into technical solutions. • Your goal is to provide an organisation wide source of truth for various downstream activities while also work towards improving and modernising our current platform. • Key responsibilities: Design, develop, and maintain scalable data pipelines to process soil carbon and agricultural data. • Create and optimise database schemas and queries. • Implement data quality controls and validation processes. • Adapt existing data flows and schemas to new products and services under development.

🎯 Requirements

• BS/B. Tech in Computer Science or equivalent practical experience, with 5-7 years as Data Engineer or similar role. • Strong SQL skills and experience optimizing complex queries • Proficiency with relational databases, preferably MySQL • Experience building data pipelines, transformations, and dashboards • Ability to troubleshoot and fix performance and data issues across the database • Experience with AWS services (especially Glue, S3, RDS) • Exposure to big data eco-system – Snowflake/Redshift/Tableau/Looker • Python programming skills • Excellent written and verbal communication skills in English • High degree of attention to detail to uncover data discrepancies and fix them • Familiarity with geospatial data • Experience with scientific or environmental datasets • Some understanding of agritech or environmental sustainability sectors