Data Engineer (1-Year Contract)
About this position
Responsibilities
• Support and Productionize Data Science Projects
• Collaborate with the data science team to productionize data solutions into production and integrate them with existing systems.
• Develop and optimize data pipelines to support the data science roadmap and ensure operationalization of insights.
• Maintain, Improve, and Provide First/Second-Level Support for Existing Data Products
• Monitor and resolve data product issues across multiple tenants, ensuring reliability and uptime.
• Continuously improve and optimize existing data solutions for better performance, scalability, and cost-efficiency.
• Provide timely first/second-level support to resolve data pipeline failures and data quality issues.
• Develop and Improve Data Products for New Tenants
• Build new data pipelines and solutions to support onboarding of new tenants and stakeholder requirements.
• Work with stakeholders to gather requirements, design scalable data architectures, and deliver data products.
• Ensure alignment with business goals and priorities while delivering on agreed timelines.
• Documentation and Knowledge Transfer
• Develop comprehensive documentation for all new and improved data solutions.
• Ensure seamless handover and knowledge sharing at the end of the contract period.
Requirements
• Bachelor’s degree or higher in related fields.
• 1+ years of experience as a Data Engineer or in a similar role.
• Proficiency in:
• Python, SQL
• Data Technologies: Apache Airflow, DBT or equivalent tools
• Cloud Platforms: Google Cloud Platform
• Data Warehousing: BigQuery
• Version Control: Git & Github
• Proven experience in designing, building, optimizing, and maintaining data pipelines.
• Strong troubleshooting and first, second-level support experience for data products.
• Good background on software engineering principles
• Growth mindset