Python Developer with AWS Experience

Role Overview: As a Python Developer with AWS experience, your main responsibility will be designing and implementing modular, production-grade Python applications utilizing OOP, structured logging, and error handling. You will also focus on building and managing ETL/ELT pipelines for batch and streaming data workflows across AWS and Snowflake. Additionally, you will be developing and optimizing Snowflake SQL/DML queries for staging, merging, and data transformations. Your role will also include deploying, monitoring, and optimizing serverless solutions using AWS Lambda, Step Functions, and CloudWatch. Collaboration with business and engineering teams to design data-driven workflows and automation will be a key part of your responsibilities. Ensuring scalability, reliability, and performance of pipelines handling large datasets is crucial, along with working on third-party integrations (Salesforce, Redis, ATS, TWC) to enable seamless data exchange. Key Responsibilities: - Design and implement modular, production-grade Python applications leveraging OOP, structured logging, and error handling. - Build and manage ETL/ELT pipelines for batch and streaming data workflows across AWS and Snowflake. - Develop and optimize Snowflake SQL/DML queries for staging, merging, and data transformations. - Deploy, monitor, and optimize serverless solutions using AWS Lambda, Step Functions, and CloudWatch. - Manage secure secrets and credentials using AWS Secrets Manager. - Collaborate with business and engineering teams to design data-driven workflows and automation. - Implement and maintain CI/CD pipelines for deployments using GitHub and related tools. - Ensure scalability, reliability, and performance of pipelines handling large datasets. - Work on third-party integrations (Salesforce, Redis, ATS, TWC) to enable seamless data exchange. Qualification Required: - Strong Python development experience (OOP, exception handling, modular design, multithreading). - Hands-on expertise in AWS services: Lambda, S3, Secrets Manager, CloudWatch, Step Functions. - Solid understanding of Snowflake DML and query optimization. - Experience designing and maintaining ETL/ELT pipelines (batch & streaming). - Familiarity with Salesforce, Redis, ATS, and TWC API ecosystems. - Strong knowledge of GitHub workflows, version control, and CI/CD pipelines. - Experience with data processing at scale, ensuring fault tolerance and resilience. Role Overview: As a Python Developer with AWS experience, your main responsibility will be designing and implementing modular, production-grade Python applications utilizing OOP, structured logging, and error handling. You will also focus on building and managing ETL/ELT pipelines for batch and streaming data workflows across AWS and Snowflake. Additionally, you will be developing and optimizing Snowflake SQL/DML queries for staging, merging, and data transformations. Your role will also include deploying, monitoring, and optimizing serverless solutions using AWS Lambda, Step Functions, and CloudWatch. Collaboration with business and engineering teams to design data-driven workflows and automation will be a key part of your responsibilities. Ensuring scalability, reliability, and performance of pipelines handling large datasets is crucial, along with working on third-party integrations (Salesforce, Redis, ATS, TWC) to enable seamless data exchange. Key Responsibilities: - Design and implement modular, production-grade Python applications leveraging OOP, structured logging, and error handling. - Build and manage ETL/ELT pipelines for batch and streaming data workflows across AWS and Snowflake. - Develop and optimize Snowflake SQL/DML queries for staging, merging, and data transformations. - Deploy, monitor, and optimize serverless solutions using AWS Lambda, Step Functions, and CloudWatch. - Manage secure secrets and credentials using AWS Secrets Manager. - Collaborate with business and engineering teams to design data-driven workflows and automation. - Implement and maintain CI/CD pipelines for deployments using GitHub and related tools. - Ensure scalability, reliability, and performance of pipelines handling large datasets. - Work on third-party integrations (Salesforce, Redis, ATS, TWC) to enable seamless data exchange. Qualification Required: - Strong Python development experience (OOP, exception handling, modular design, multithreading). - Hands-on expertise in AWS services: Lambda, S3, Secrets Manager, CloudWatch, Step Functions. - Solid understanding of Snowflake DML and query optimization. - Experience designing and maintaining ETL/ELT pipelines (batch & streaming). - Familiarity with Salesforce, Redis, ATS, and TWC API ecosystems. - Strong knowledge of GitHub workflows, version control, and CI/CD pipelines. - Experience with data processing at scale, ensuring fault tolerance and resilience.