Posted:1 week ago|
Platform:
On-site
Full Time
* 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).
* Proficiency with REST APIs (design, authentication, JSON payload handling, integration).
* 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.
* 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.
* Integrate with external and internal REST APIs, ensuring reliable payload processing and error management.
* 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.
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