Data Engineer

March 18

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PODEAN

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PODEAN is a premier global marketplace agency dedicated to unlocking growth for brands on various eCommerce platforms. With a team located across five continents, PODEAN specializes in developing award-winning strategies tailored to unique business needs, leveraging data insights to optimize marketplace presence. Their full-service offerings include social commerce initiatives, advanced media planning, content creation, retail management, and logistics, all designed to enhance brand performance on platforms like Amazon and TikTok Shop.

Amazon Advertising • Programmatic • E-Commerce • Sponsored Ads • Brand Performance Marketing

51 - 200 employees

Founded 2018

🛍️ eCommerce

📋 Description

• Design, implement, and maintain scalable data solutions that interact with APIs from platforms like Amazon, Walmart, and others. • Ensure seamless data integration, build robust pipelines, and create systems that deliver high-quality, real-time data to support business intelligence and decision-making processes. • Develop and maintain integrations with marketplace APIs such as Amazon Selling Partner API Handle API authentication, rate limits, pagination, and error handling. • Design, build, and optimize ETL/ELT pipelines for ingesting and processing data from multiple marketplaces. • Automate data workflows to ensure reliable and timely updates. • Design and implement data models to support analytical and operational use cases. • Utilize data storage solutions such as AWS S3, Redshift, DynamoDB, or Google BigQuery. • Monitor and optimize API calls to handle large-scale data operations efficiently. • Ensure the system can scale as data volumes and integration points grow. • Work closely with data analysts and product teams to deliver actionable insights and solutions. • Communicate technical concepts to non-technical stakeholders. • Manage API keys, tokens, and access credentials securely.

🎯 Requirements

• 5+ years of experience in a data engineering or similar role, with a focus on API integration. • Proficiency in Python, Java, or another programming language suitable for API integration and data engineering. • Expertise in SQL and experience with data warehouses (e.g., Redshift, Snowflake, BigQuery). • Hands-on experience with workflow orchestration tools Proven track record of building scalable data pipelines and systems. • Strong problem-solving abilities and attention to detail. • Excellent communication skills and a collaborative mindset. • Ability to manage multiple projects in a fast-paced environment.