$ cat jobs/data-engineer-kanadeviainova-cac4b4d6d1ae.json
Data Engineer
Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation. Transforming Waste into Value At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond. Join our Data Products Team to build scalable data solutions that drive business insights. You will work collaboratively within an agile environment to design, develop, and maintain robust data pipelines using Snowflake, DBT, and Azure. If you are passionate about data and eager to make a significant impact, we would love to hear from you. Design, develop, and optimise scalable data pipelines and ETL processes using Snowflake and its technology stack, enabling reliable ingestion, transformation, storage, and seamless access to data while ensuring high performance, data quality, and operational reliability Contribute to building intuitive Streamlit applications that transform data into valuable business solutions and insights Collaborate with data architects, product managers, analysts, and business stakeholders to understand requirements and deliver solutions that meet business needs Monitor and implement data quality measures to ensure accuracy, consistency, and compliance with data governance policies and security standards Continuously optimise data processes to improve performance, reduce costs, and maintain comprehensive documentation of pipelines and data models Bachelor's degree in Computer Science, Information Technology, or a related field, with 2–5 years of proven experience in data engineering roles (ETL/ELT processes, data modelling, and pipeline development) Strong programming proficiency in SQL and
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