Job Description

• Build Data Pipelines: Design, develop, and maintain robust data pipelines to reliably ingest, process, and consolidate data from diverse sources at scale. 
• Data Modeling and Warehousing: Build and manage efficient data models, data warehouses, and data platforms to support BI and advanced analytics initiatives. 
• ETL/ELT Optimization: Develop and optimize ETL/ELT processes for maximum performance, scalability, reliability, and cost-efficiency. 
• Data Quality and Governance: Implement and enforce standards for data quality, security, and governance across all data assets. 
• Monitoring and Troubleshooting: Proactively monitor, troubleshoot, and tune data pipelines, and systems for performance and reliability. 
• Production Integration: Support the deployment and integration of machine learning models and analytical products into production and enable automation of solutions. 
• Requirements Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver clean, reliable, and well-documented datasets. 
• Architecture and Strategy: Contribute to the overall data strategy, architecture design, and continuous process improvement initiatives.
• Reporting and Metrics Automation: Develop and automate metrics, dashboards, and reports to monitor data governance trends, such as data quality. 
• Technical Documentation: Create and maintain comprehensive technical documentation on data pipelines, configurations, setups, and deployment of data solutions.