Mave

www.maveai.co

1 Job

18 Employees

About the Company

Spend your time chasing deals, not tasks. Mave's AI assistant automates your marketing, delivers real-time data, and creates personalized content - by sending a single text, so you can focus on growing your business.

Listed Jobs

Company Name: Mave
Job Title: Junior Data Engineer
Job Description: **Job Title**: Junior Data Engineer **Role Summary**: Design, build, and maintain scalable data pipelines that feed AI models and analytics dashboards, collaborating with senior engineers and product teams in a fast‑paced AI startup. **Expectations**: 1–2 years of practical data engineering or analytics experience (or equivalent academic projects); strong Python proficiency (Pandas, NumPy); solid SQL skills with PostgreSQL/MySQL; familiarity with ETL/ELT workflows, data modeling, and cloud storage (AWS, GCP, or Azure – BigQuery, S3); curiosity about AI and LLMs; API integration experience; detail‑oriented, collaborative, and eager to learn. **Key Responsibilities** - Develop and maintain reliable ETL/ELT pipelines that deliver clean, validated data to AI models and product analytics. - Automate data collection, cleaning, and validation processes in partnership with senior engineers. - Monitor data quality, integrity, and latency across systems; implement metrics and alerts. - Build and update internal dashboards to support product and business decisions. - Document pipelines, processes, and best practices to enhance reproducibility and team knowledge. - Contribute to continuous improvement of data engineering workflows and tooling under mentorship. **Required Skills** - Python (Pandas, NumPy, or similar) - SQL; relational databases (PostgreSQL, MySQL) - Data pipeline design, ETL/ELT, and data modeling concepts - Cloud platforms (AWS, GCP, or Azure) & storage services (BigQuery, S3) - API integration and third‑party data source ingestion - Strong analytical, problem‑solving, and communication abilities **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Science, or related field preferred (or equivalent work experience). - No specific certifications required.