Title: 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:
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Develop, optimize, and maintain data pipelines in Snowflake.
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Implement automation and workflow scheduling using Control-M.
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Work with AWS services, particularly S3 storage, for data integration and management.
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Apply DevOps principles for efficient deployment and CI/CD pipelines.
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Design and optimize data models for structured and semi-structured data.
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Troubleshoot technical issues and provide solutions in a cloud-based environment.
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Collaborate with cross-functional teams to ensure data accuracy and reliability.
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Utilize financial domain knowledge (if applicable) to enhance business insights.
Required Skills:
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Snowflake: Data warehousing, query optimization, Snowpipe, etc.
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Python: Scripting, automation, data processing, API integration.
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AWS (S3): Data storage, retrieval, and integration best practices.
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Control-M: Workflow automation, batch scheduling.
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DevOps: CI/CD, infrastructure automation, version control.
Preferred Skills:
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Data modeling and database architecture design.
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Strong analytical and problem-solving skills.
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Excellent communication and ability to work independently.
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Understanding of financial domain concepts and terminology (a plus).