Overview
Skills
Job Details
Position: Python Developer (Former Walmart Project Experience) Location: All over US Duration: 12+ Months
Summary:
Proficient Python Developer with hands-on experience in developing scalable, data-driven applications and APIs for Walmart s large-scale retail and e-commerce ecosystem. Strong background in building ETL pipelines, RESTful services, and automation frameworks to support supply chain, inventory, and customer-facing applications. Skilled in Python, Flask/Django, AWS cloud services, and data engineering tools.
Key Responsibilities:
Designed and developed RESTful APIs and backend services using Python (Flask/Django) to support Walmart s retail operations and digital platforms.
Built ETL workflows to process large volumes of transactional and product data from diverse sources into PostgreSQL, Cassandra, and Hadoop clusters.
Automated business-critical workflows including inventory reconciliation, pricing updates, and shipment tracking using Python scripting.
Collaborated with Walmart s data engineering and analytics teams to deliver insights that improved supply chain efficiency and customer experience.
Implemented data validation, transformation, and cleansing logic to ensure data accuracy across systems.
Worked on cloud-native development and deployment with AWS (Lambda, S3, Glue, EMR, DynamoDB, RDS).
Participated in designing real-time streaming pipelines with Apache Kafka for order and inventory updates.
Applied DevOps practices with CI/CD pipelines (Jenkins, Git, Docker, Kubernetes) for continuous integration and deployment.
Key Achievements at Walmart:
Developed a real-time product availability API that reduced out-of-stock errors by 25%, improving customer satisfaction.
Optimized ETL jobs, reducing daily data load time by 40%.
Built monitoring scripts to detect and alert system anomalies, ensuring 99.9% uptime of key retail applications.
Contributed to Walmart s migration from legacy batch processes to real-time streaming architecture.
Technical Skills:
Languages: Python, Java (secondary), SQL, PL/SQL
Frameworks: Flask, Django, FastAPI, Pandas, NumPy, PySpark
Databases: PostgreSQL, Cassandra, Oracle, MySQL, MongoDB
Cloud & Big Data: AWS (Lambda, Glue, S3, RDS, EMR, DynamoDB), Hadoop, Spark
Messaging/Streaming: Apache Kafka, RabbitMQ
DevOps Tools: Jenkins, Git, Docker, Kubernetes
Other Tools: TIBCO BusinessWorks, MuleSoft (for API integrations), REST & SOAP Web Services