Senior Data Engineer

Data Engineering & Pipeline Development

• Design, build, and maintain scalable data pipelines for data ingestion, transformation, and processing.
• Develop efficient ETL/ELT workflows to support reporting, analytics, and operational systems.
• Integrate data from multiple internal and external sources while ensuring consistency and reliability.
• Optimize data processing workflows to improve performance, scalability, and efficiency.

Data Management & Quality Assurance

• Implement data quality frameworks, validation processes, and monitoring mechanisms.
• Ensure the accuracy, completeness, and integrity of enterprise data assets.
• Identify and resolve data inconsistencies, performance bottlenecks, and processing issues.
• Maintain data governance standards and support compliance requirements.

Collaboration & Stakeholder Support

• Partner with business teams, analysts, product managers, and technical stakeholders to understand data requirements.
• Translate business needs into scalable and effective data solutions.
• Support data-driven initiatives by providing reliable datasets and technical expertise.
• Collaborate with cross-functional teams to improve data accessibility and usability.

Documentation & Best Practices

• Create and maintain technical documentation, data flow diagrams, and system specifications.
• Establish and promote best practices for data engineering, data modeling, and data management.
• Participate in architecture discussions and contribute to data platform improvements.
• Support continuous improvement initiatives focused on automation, efficiency, and scalability.

Monitoring & Troubleshooting

• Monitor data pipelines and system performance to ensure uninterrupted operations.
• Troubleshoot and resolve data-related incidents in a timely manner.
• Perform root-cause analysis and implement long-term solutions for recurring issues.
  • Continuously improve platform reliability and operational efficiency.