Python Data Engineer

SS&C Technologies

6 - 11 years

13 - 15 Lacs

hyderabad

Posted:5 days ago| Platform:

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Skills Required

kubernetes continuous integration cd python github software development python development ci/cd distributed computing artificial intelligence microservices docker django postgresql stakeholder management devops mysql api flask communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

Lead the design, development, and implementation of high-performance Java-based applications and microservices for digital investment products.
Collaborate closely with product management, UX/UI designers, and other developers to deliver high-quality software that meets client requirements.
Drive the adoption of best practices in coding, testing, and software architecture to ensure high standards of code quality, performance, and scalability.
Participate in all phases of the software development lifecycle, including requirements gathering, design, coding, testing, deployment, and maintenance.
Provide technical leadership and mentorship to junior developers, promoting continuous learning and professional development within the team.
Conduct code reviews, ensuring adherence to established coding standards and architectural guidelines.
Stay updated with emerging technologies, tools, and industry trends to improve SS&Cs digital product offerings continuously.
Troubleshoot and resolve complex technical issues across the application stack, ensuring minimal disruption to the business.
Contribute to the strategic planning of the Digital Development function, identifying opportunities for innovation and process improvement.

What You Will Bring:

Bachelor s or master s degree in computer science, Engineering, or a related field.
6+ years of hands-on experience in AI & Python development, with expertise in Django, Flask, or FastAPI.
Ability to design and build end-to-end applications and API integrations.
Experience with relational databases such as MS SQL Server, PostgreSQL, and MySQL.
Expertise in DevOps practices, including Docker, Kubernetes, and CI/CD tools like GitHub Actions.
Deep understanding of microservices architecture and distributed computing principles.
Strong knowledge of security best practices in software development.
Familiarity with data analytics and visualisation tools such as Snowflake, Looker, Tableau, or Power BI.
Excellent problem-solving skills and the ability to work independently and within a team.
Strong communication and stakeholder management skills.

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