Data Engineer

• Lead the data architecture and engineering strategy, ensuring alignment with business and technology roadmaps.
• Design and implement data models, pipelines, and data integration frameworks across multiple platforms.
• Partner with stakeholders to translate business requirements into scalable data solutions.
• Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.
• Drive adoption of best practices in data engineering design patterns and modern cloud architectures.
• Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.
• Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.
• Mentor and guide data engineering teams (onsite & offshore) to deliver high-quality outcomes.
• Ensure compliance with data governance, security, and privacy standards.
• Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.
• Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.

Lead Data Engineer

Data Architect