Artefact - Data Engineer Manager
Requirements
• 8+ years of industry experience in data engineering. • Proficiency in Python, SQL, and database management. • Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. • Data modelling and modern data platform design concepts • Building and maintaining data platforms in Azure/AWS or GCP • Experience working with business stakeholders either internally or externally • Excellent communication skills to collaborate effectively within teams and with stakeholders. • Strong business acumen with an interest in business-facing roles. • Adaptability and a start-up mentality to thrive in a dynamic environment. • Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees. • Already have authorization to work and already working in the market • Artefact is the place to be: come and build the future of data and AI • Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.Action: We make things rather than telling people how to make them.Collaboration: We believe in bringing talented people together, winning together, and in learning from each other. • Innovation: • Action: • Collaboration:
Responsibilities
• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. • Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. • Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. • Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. • Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. • Mentor and guide engineers, fostering knowledge sharing and best practices.
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