Architect, develop, and maintain scalable data pipelines and ETL processes
Collaborate with cross-functional teams to gather requirements and deliver solutions
Craft SQL queries and procedures to extract insights from data repositories
Design and implement Python scripts and tools for data processing
Job description
Position: Data Engineering (Python & SQL Server)
Experience: 7+ years
Work Mode: Remote
Shift: Day Shift
• Architect, develop, and maintain scalable data pipelines and ETL processes, facilitating the seamless flow of data across our ecosystem.
• Collaborate closely with cross-functional teams to gather requirements, identify data sources, and deliver solutions aligned with business objectives.
• Harness the power of SQL Server, crafting finely-tuned queries and procedures to extract insights from our data repositories.
• Leverage Python's versatility to design and implement scripts, tools, and applications that streamline data processing and analysis.
• Champion best practices in data governance, security, and compliance, ensuring the integrity and confidentiality of our data assets.
• Tackle challenges head-on, troubleshooting issues related to data quality, performance, and availability with precision and efficiency.
• Stay ahead of the curve, staying abreast of emerging trends and technologies in data engineering and Python development.
• Solid understanding of Large Language Models, Machine Learning, Deep Learning, Generative AI, Supervised learning, data science, and data engineering.
