Python Job: Senior Data Engineer

Apache Hive

Apache Hadoop

Python

Kubernetes

Apache Spark

Apache NiFi

Apache Kafka

Apache Airflow

SQL

E-commerce

Kanban

Scrum

• Contribute in the design and construction of the company data lake;
• Collect, store, process, and support the analysis of huge sets of data, both structured, semi-structured and unstructured.

• Experience creating and driving large scale ELT pipelines (Airflow, NiFi, Spark);
• Demonstrable skills and experience using SQL with large data sets (Hive, SQL Server, etc);
• Experience with object-oriented/object function scripting languages: Python, Java, C#, etc.
• Knowledge of Kafka data streaming;
• Build analytics and data visualization tools that utilize the data pipeline to provide actionable insights (Superset, Power BI, etc)
• Experience with high throughput, 24x7 systems;
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations;
• Experience supporting and working with cross-functional teams in a dynamic environment.

• A unique experience in an entrepreneurial, yet structured environment
• The opportunity to become part of a highly professional and dynamic team working around the world
• An unparalleled personal and professional growth as our longer-term objective is to train the next generation of leaders for our future internet ventures

• Attractive bonus scheme
• Free access to Udemy for Business for an unlimited training experience
• A great work-life balance: hybrid work week; additional vacation day in December
• Caring perks: individual private health insurance, dental insurance, discounted gym membership, parental bonus
• Fun at work: company events, quarterly team building, drinks and snacks.