Technical Specialist-Data Engg

Area(s) of responsibility

We are looking for a highly skilled professional with expertise in Snowflake, Python, AWS (S3), Control-M, and DevOps to join our team. The ideal candidate will possess strong data modeling skills, problem-solving abilities, and excellent communication skills. The ability to work independently and knowledge of financial terminology will be an added advantage.

Key Responsibilities:

• Develop, optimize, and maintain data pipelines in Snowflake.

• Implement automation and workflow scheduling using Control-M.

• Work with AWS services, particularly S3 storage, for data integration and management.

• Apply DevOps principles for efficient deployment and CI/CD pipelines.

• Design and optimize data models for structured and semi-structured data.

• Troubleshoot technical issues and provide solutions in a cloud-based environment.

• Collaborate with cross-functional teams to ensure data accuracy and reliability.

• Utilize financial domain knowledge (if applicable) to enhance business insights.

Required Skills:

• Snowflake: Data warehousing, query optimization, Snowpipe, etc.

• Python: Scripting, automation, data processing, API integration.

• AWS (S3): Data storage, retrieval, and integration best practices.

• Control-M: Workflow automation, batch scheduling.

• DevOps: CI/CD, infrastructure automation, version control.

Preferred Skills:

• Data modeling and database architecture design.

• Strong analytical and problem-solving skills.

• Excellent communication and ability to work independently.

• Understanding of financial domain concepts and terminology (a plus).