Data Engineer

Summary

Join our team as a Data Engineer at TechBiz Global, where you will collaborate with other engineers to build a modular data engineering infrastructure and design data models. You will work closely with the Director of Analytics and Head of Infrastructure Engineering to support every aspect of our business.

Requirements

• Experience working with data architectures for scalable and performant systems
• Experience with dimensional data modeling, OLAP systems, and data warehousing concepts (star/snowflake schema, etc.)
• Strong experience with GCP
• Experience with Big Query, Looker Studio
• Experience with NoSQL databases (e.g., DynamoDB, Cassandra) and SQL databases (e.g., PostgreSQL, MySQL)
• Design, implement, and optimize ETL pipelines for efficient data movement and transformation
• Hands-on experience with workflow management tools such as Apache Airflow
• Proficiency in Python and other relevant programming scripting languages for data processing
• Strong SQL expertise for querying large datasets
• Knowledge of API integration for extracting data from multiple sources (internal and external systems such as Amazon's API for FBA, sales data, etc.)
• Experience with CI/CD pipelines, automation scripts, and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
• Ability to implement data versioning and data quality checks
• Strong understanding of data privacy and compliance regulations like GDPR or CCPA
• Ensure data governance best practices, including encryption, access controls, and audit trails
• Expertise in implementing data quality checks, monitoring data pipelines, and ensuring that systems are reliable and efficient
• Proficiency with monitoring tools for real-time visibility of data flows
• Experience with ecommerce/retail/supply chain data modeling is a big plus
• Experience with Amazon seller ecosystem is a big plus
• Ability to solve complex data challenges, propose innovative solutions for scaling and optimizing data architecture, and proactively drive improvements
• Ability to adapt to fast-paced, constantly evolving scale-up environment
• Capable of handling well defined projects and prioritizing based on business impact
• Proficient in English

Responsibilities

• Collaborate closely with other Data Engineers, Software Development Engineers (SDEs), Analytics Engineers (AEs), Data Scientists (DSs) and Infrastructure Engineers (IEs) in the technology team
• Focus on building a modular, flexible data engineering infrastructure that we can iteratively improve on continuously. Your customers will include eCommerce, marketing, supply chain, finance, Business development, and legal
• Understand that our data is a strategic resource, and will build data products to support every aspect of our business
• Build our data model(s) in addition to our data infrastructure in collaboration with the Director of Analytics and Head of Infrastructure Engineering