Data Engineering Lead
12 hours ago
At ANSR, we're seeking a highly skilled and experienced Data Engineering Lead to join our team. As a key member of our analytics software development group, you will lead the end-to-end design, development, and delivery of scalable and robust analytics software applications using .NET and Angular frameworks.
About the Role:
We're looking for someone with 5+ years of hands-on experience in analytics software development using .NET and Angular technologies. You should be proficient in desktop and web application development (C#.Net, HTML5, CSS3, Javascript), data-access coding skills: T-SQL, stored procedures, triggers, functions, and views, and experience in cloud platforms like AWS, Snowflake, etc.
Main Responsibilities:
- Collaborate with product managers, architects, and other stakeholders to understand requirements, propose technical solutions, and drive the implementation of features.
- Architect and design high-performance, maintainable, scalable software systems, ensuring adherence to best practices and architectural principles.
- Mentor junior and mid-level engineers, providing guidance, support, and technical expertise to foster their growth and development.
- Conduct code reviews, enforce coding standards, and drive continuous improvement in code quality, performance, and maintainability.
- Collaborate with cross-functional teams to troubleshoot and resolve complex technical issues, ensuring timely delivery of high-quality solutions.
Preferred Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Strong knowledge and experience with relational databases such as SQL Server, MySQL, or PostgreSQL.
- Familiarity with Analytics tools like Tableau, PowerBI, Quilk, Cognos, or Business Objects.
- Understanding of data and analytics tools like Snowflake, dBT, Tableau, Spark/Python, etc.
Salary: The estimated salary for this position is around $120,000 - $160,000 per year, depending on location and experience.
This is an excellent opportunity to work with a dynamic team and contribute to the development of cutting-edge analytics software applications.
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