About Us: Celestial Systems is a leading technology services company specializing in data-driven solutions for enterprise clients. We work with top financial institutions, helping them modernize their technology stack and optimize their analytics capabilities. Job Description: Must have Experience working in the financial analytics field is a big plus. 5-7 years of hands-on experience in Python programming is required . Should have good experience in implementing Snowflake Best Practices Proficient in SQL Server and T-SQL for complex queries and stored procedures. Experience in the Financial Services Sector. Good problem-solving and communication skills are required. Nice to have Developed and maintained financial analytics applications using Python and / or SQL Server is preferred. Familiarity with data visualization tools( Tableau, PowerBI) and libraries in Python (e.g., Pandas, NumPy, Matplotlib, Plotly) is helpful. AWS cloud experience is preferred. Key Responsibilities: Work closely with financial analysts and business teams to translate complex financial models into scalable technical solutions. Develop and maintain financial analytics applications using Python and Snowflake . Transform stored procedures and database schemas (SQL Server, T-SQL based) into Python and Snowflake based solutions. Optimize database performance and troubleshoot issues related to data integrity and efficiency. Collaborate with cross-functional teams to enhance analytics capabilities and improve business decision-making. Ensure best practices in software development, including code reviews, testing, and documentation. Will work with large datasets and financial data processing. Why Join Us? Opportunity to work on cutting-edge financial analytics projects. Collaborative and dynamic work environment. Competitive compensation and benefits. Growth opportunities in a rapidly evolving industry.
Job Title
Senior Data Engineer - Snowflake