Data Engineer (Snowflake, Python, SQL & React)

Job Description:

• Bachelors degree in Computer Science Information Technology Software Engineering Data Science or a related technical field.
• 4 years of experience in Software Development Data Engineering or Data Platform Development.
• Strong proficiency in Python SQL and Snowflake development.
• Hands-on experience designing and implementing ETL/ELT pipelines Data Warehouses and Data Lakes.
• Experience building modern web applications using and JavaScript/TypeScript.
• Working knowledge of Generative AI LLMs RAG architectures AI agents and AI-powered application development.
• Experience with Snowflake Tasks Streams Stored Procedures Snowpark and Dynamic Tables.
• Strong understanding of Data Modeling Data Governance and Data Quality principles.
• Experience with Git CI/CD pipelines Agile/Scrum methodologies and automated testing frameworks.
• Exposure to cloud platforms such as AWS including services like S3 Lambda Glue ECS or Bedrock.
• Excellent analytical problem-solving and stakeholder management skills.
• Strong verbal and written communication skills with the ability to work effectively across cross-functional teams.

• Design develop and maintain scalable data engineering solutions using Python SQL and Snowflake.
• Build and optimize ETL/ELT pipelines for processing large-scale structured and unstructured datasets.
• Develop modern web applications and data-driven interfaces using React.
• Leverage AI/ML technologies including Generative AI and LLM integrations to solve business problems and improve operational efficiency.
• Work within Agile development teams actively participating in sprint planning stand-ups retrospectives and code reviews.
• Design and implement Snowflake data architectures including Tasks Streams Dynamic Tables and performance optimization.
• Collaborate with business stakeholders to understand requirements and deliver scalable data-driven solutions.
• Implement CI/CD pipelines and DevOps best practices for application and data platform deployments.
• Establish and enforce coding standards testing strategies monitoring and data governance practices.
• Mentor junior developers and provide technical leadership across projects.
• Analyze business and customer data to generate insights for decision-making and audience targeting initiatives.
• Work with cross-functional teams including Product Analytics AI and Engineering to deliver end-to-end solutions.

• Strong experience in Python for data engineering automation API development and backend services.
• Advanced SQL development and performance tuning expertise.
• Hands-on experience with Snowflake including:
  • Tasks
  • Streams
  • Stored Procedures
  • Snowpark
  • Dynamic Tables
  • Data Sharing
  • Performance Optimization
• Strong understanding of Data Warehousing ETL/ELT Data Modeling and Data Lake architectures.
• Experience building front-end applications using JavaScript/TypeScript HTML and CSS.
• Experience integrating AI solutions including Generative AI LLM APIs vector databases RAG architectures and intelligent automation.
• Experience with REST APIs microservices and cloud-native application development.
• Strong knowledge of Agile methodologies Git CI/CD and DevOps practices.
• Excellent communication and stakeholder management skills.
• Ability to translate business requirements into scalable technical solutions.

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