AuxoAI is hiring a Data Engineer<\/b> to join our growing data engineering team focused on building production -grade pipelines on Google Cloud Platform (GCP)<\/b>. This is a hands -on role ideal for someone early in their data career who’s eager to learn fast, work with modern cloud -native tools, and support the development of scalable data systems.
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You’ll work alongside experienced engineers and analysts on real client projects across industries, helping implement ELT processes, BigQuery pipelines, orchestration workflows, and foundational MLOps capabilities.
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Assist in developing scalable data pipelines using GCP tools such as Dataflow<\/b>, BigQuery<\/b>, Cloud Composer<\/b>, and Pub/Sub<\/b> Write and maintain SQL and Python scripts<\/b> for data ingestion, cleaning, and transformation Support the creation and maintenance of Airflow DAGs<\/b> in Cloud Composer for orchestration Collaborate with senior data engineers and data scientists to implement data validation and monitoring checks Participate in code reviews, sprint planning<\/b>, and cross -functional team meetings Help with documentation and knowledge base creation for data workflows and pipeline logic Gain exposure to medallion architecture, data lake design<\/b>, and performance tuning on BigQuery 2 -4 years of relevant experience in data engineering, backend development, or analytics engineering Strong knowledge of SQL<\/b> and working -level proficiency in Python<\/b> Exposure to cloud platforms<\/b> (GCP preferred; AWS/Azure acceptable) Familiarity with data pipeline concepts<\/b>, version control (Git), and basic workflow orchestration Strong communication and documentation skills Eagerness to learn, take feedback, and grow under mentorship Bonus Skills:<\/b> Hands -on experience with GCP tools like BigQuery<\/b>, Dataflow<\/b>, or Cloud Composer<\/b> Experience with dbt<\/b>, Dataform<\/b>, or Apache Beam<\/b> Exposure to CI/CD pipelines<\/b>, Terraform<\/b>, or containerization (Docker) Knowledge of basic data modeling and schema design concepts
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