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.
