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We seek a senior data engineer with Python knowledge to join one of our Apple projects. This engineer will analyze data to generate business insights using Python and new and relevant technologies. They will also help create and maintain the analytic data pipelines that empower the analytics and reporting key to decision-making across retail while leveraging large and complex data sources. Our new colleague will partner with cross-functional teams to identify, create, and maintain metrics and data pipelines to support analytics, reporting, and key decisions on various topics, including product launches, customer experience, and operational performance.
Job Responsibility:
Perform Data Analysis to generate business insights
Design, create, refine, and maintain data pipelines and ingestion processes for modeling, analysis, and reporting
Support Critical data processes running in production
Collaborate with other data scientists, analysts, and engineers to build full-service data solutions
Work with cross-functional business partners and vendors to acquire and transform raw data sources
Develop a deep understanding of our retail customer base and purchase choices and contribute to developing tools to improve business efficiency and productivity
Requirements:
Minimum 4 years of production experience working with Python
Experience building robust and scalable data processes and pipelines for modeling, analysis, and reporting
Experience with microservices, Apache Spark, Ray, REST, Docker, Kubernetes, Redis, AWS Cloud, S3, RDBMS (such as PostgreSQL), NoSQL, Vector DB
Solid knowledge of Fast API/Django/Flask, Pydantic, Matplotlib, and Plotly
Extensive experience with building highly scalable and available REST APIs
Experience in using workflow systems such as Airflow is a plus
Experience with Kubernetes, CI/CD deployment, Helm, and monitoring systems such as Prometheus and Grafana
Knowledge of Graph Database, LLM/RAG, Tensor, LangChain is a plus
Nice to have:
Experience in using workflow systems such as Airflow is a plus
Knowledge of Graph Database, LLM/RAG, Tensor, LangChain is a plus
What we offer:
Open office policy - Work from Anywhere and Utilities expenses coverage
Extra days off & Bi-monthly team lunch / activities
Stock options
Offers for dental and optical clinics & health subscription & sports discounts
Access to learning platforms & Bookster subscription
Good coffee and snacks at the office & discounts at coffee shops nearby