Microsoft Data Architect guiding the implementation of Microsoft Data Architectures for clients in various industries. Leading technical consultations and team coaching with focus on Azure and BI technologies.
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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Experience level
Salary
Not specified
Degree requirement
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