Data Engineer

As a Data Engineer at Inito, you will build and maintain scalable data pipelines and data models that power analytics, data science, and machine learning. You will work closely with Business Analysts, Data Scientists, and ML Engineers to create a reliable single source of truth across the organization.

Responsibilities

• Build and maintain data pipelines using Python, Airflow, dbt, and BigQuery .
• Develop data integrations using Airbyte, APIs, and GCP services .
• Design and optimize data models, schemas, and SQL queries in BigQuery.
• Use PySpark for large-scale data processing.
• Implement data quality, testing, monitoring, and CI/CD practices.
• Work with Docker, Jinja, queues, caching, and distributed systems where required.
• Follow strong software engineering and design practices to build scalable, maintainable systems.

What Were Looking For

• 3 - 6 years of experience in Data Engineering / Analytics Engineering .
• Strong Python and SQL skills.
• Hands-on experience with Airflow, dbt, and BigQuery .
• Experience with data modeling, ETL/ELT, GCP, and PySpark .
• Good understanding of data quality, CI/CD, and production data systems .
• Ability to collaborate effectively with Data, ML, and Business teams.

Key Outcomes

• Build a unified and trusted data foundation for Inito.
• Enable Analytics, Data Science, and ML teams with reliable data.
• Improve the scalability, reliability, performance, and quality of data infrastructure.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.