Data Engineer responsible for building and maintaining data solutions on AWS and GCP. Focus on Lakehouse architecture to support analytics, reporting, and AI/ML use cases.
About the role
- Senior Data Engineer developing scalable data pipelines for AI-driven decision-making in e-commerce. Join a team innovating online business management with autonomous agents.
Responsibilities
- Building and maintaining ETLs
- Developing and maintaining data pipelines across the company
- Integrating new data sources, APIs, and reports
- Organizing and storing data efficiently in databases
- Working with SQL-based systems (and NoSQL as a plus)
- Supporting the Data Science team by bringing machine learning models into production
- Building backend infrastructure to support ML workflows
- Ensuring scalable and reliable deployment of models and data workflows
Requirements
- 5+ years of hands-on coding experience, with Python as your primary language
- AWS Serverless Expert: Extensive experience with Lambda, Step Functions, S3, and API Gateway
- The Data Stack: Proficient with AWS Glue (Serverless Spark) and Athena for scalable ETL and querying
- Expert SQL & Modeling: Ability to design schemas for both relational (RDS) and analytical (Data Lake) workloads
- API Ingestion: Experience wrangling data from external APIs (Amazon SP-API or Shopify experience is a massive plus)
- Product Mindset: You don’t just build pipelines; you understand why the data matters for the end user
- Bias for Action: You’re a fast learner, a clear communicator, and someone who gets things done.
Benefits
- Competitive salary and benefits package
- Medical insurance
- Top equipment kit
- Collaborative and innovative work environment
- Career growth and development opportunities
Job title
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Not specified
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