Live opening · Posted 9 days ago
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Role Overview
We are seeking a skilled Data Engineer with strong Python fundamentals and hands-on ETL experience. The successful candidate will be instrumental in developing and maintaining ETL connectors and data pipelines using our proprietary Python-based framework. This role requires a solid understanding of API integration, data engineering principles, and a commitment to test-driven development.
Responsibilities
Design, develop, and maintain ETL pipelines and connectors to SaaS applications using an in-house Python-based framework.
Build and maintain data pipeline logic using Python, with exposure to cloud data warehouse platforms.
Use AI coding tools like GitHub Copilot and other LLM-based agents to prototype pipelines faster, while assessing quality and making adjustments as needed.
Work with APIs to handle data exchange, implementing authentication methods and secure communications.
Manipulate and manage data using Python dataframes and third-party Python packages.
Conduct testing and quality assurance to keep pipelines reliable and scalable.
Quickly adapt to and understand enterprise B2B data systems to build effective solutions
Qualifications
Qualifications in Computer Science, Engineering, or a related field.
3 to 7 years proven experience in data engineering or software development, with very solid, hands-on Python skills.
Strong familiarity with data engineering concepts, ETL/ELT processes, and pipeline design.
Experience with API interactions and protocols.
Experience with cloud data warehouse platforms (Snowflake, BigQuery, Redshift, or similar) is a plus.
Knowledge of test-driven development practices.
Good command of English, written and spoken, to work closely with an AU/NZ based team.
Strong soft skills alongside strong hard skills. Excellent problem-solving ability and capacity to work independently.
Why Join Us?
We are a small, friendly team building a great product that customers love. We are a customer-funded, profitable company with achievable growth plans, led by product and engineering founders.
Work arrangement
No
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