Data Engineer

Responsibilities/Job Duties: 

• Drive strategies and protocols necessary to ensure efficient and effective data governance and management 
• Lead the design, implementation, and successful delivery of large-scale, critical, and complex data architecture, storage, and pipelines with a focus on scalability 
• Design, implement and automate data pipelines, sourcing data from internal and external source systems 
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it 
• Perform data analysis required to troubleshoot data related issues and assist in their resolution 
• Drive architectural plans and implement future data automation, reporting systems and analytics solutions  
• Proactively define technical processes around data analysis and reporting functions to ensure accuracy and quality of deliver and to improve efficiency through optimization 
• Manage on-premise and cloud-native cutting-edge technologies, including real-time and batch ingestion, computation, ETL, distribution, data quality, data management, agile development, ML, DevOps and CI/CD pipelines 
• Advise on industry-leading cloud service providers, their solutions, architecture, and technologies 

Qualifications: 

• Bachelor’s Degree or above in Computer Science, or related field 
• 5+ years of writing and optimizing advanced SQL queries in a business environment with large-scale, complex datasets 
• Coding proficiency in at least one modern programming language (Python, Java, etc.) 
• Experience with data modeling, design patterns and building highly scalable and secured solutions 
• Experience in data architecture, data management and cloud database best practices 
• Proficiency with Power BI, Snowflake, Fivetran, and dbt is a plus 
• Interest and curiosity in emerging technologies 
• Knowledge of best practices for the software development life cycle, including coding standards, code reviews, source control management, build processes, testing and operations 
• Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions 
• Ability to quickly understand and appreciate underlying business context, problems and objectives of analytical projects 
• Proven ability to effectively manage high-visibility, concurrent and cross-functional aspects of initiatives under demanding deadlines 
• Strong communication skills and ability to present complex information concisely through written and verbal communication