Tech stack & skills
- SQL
- Kafka
- Python
- Snowflake
- Airflow
- Blockchain
- Spark
- Data Warehouse
- dbt
- Data Modeling
Requirements
- Experience in building and operating production data pipelines.
- Strong SQL and Python skills, including testing and maintainable software design.
- Familiarity with Snowflake or similar data warehouses, including performance tuning.
- Experience with workflow orchestration tools like Airflow and dbt.
- Understanding of data modeling, incremental processing, and data-quality testing.
- Ability to trace data discrepancies and resolve issues.
- Skills: SQL, Kafka, Blockchain, Flow, Web3, Stripe, Payment gateways, Python, Snowflake, Apache Kafka, Message queues, Apache Spark, Airflow
- Experiences: Senior
- Employments: Full-time
- Benefits: Health insurance, Flexible working hours, Learning budget
Description
- Build and manage the internal data platform to analyze product usage, revenue, and customer service costs.
- Collaborate with analytics engineers and data scientists to define datasets for reporting and AI tools.
Benefits
- Private Health Insurance
- Gym Reimbursement
- Commuter Benefits
- Flexible Time Off
- In-Office Group Meals
- Learning & Development Stipend