Senior Data Engineer (Python, English is a must)

What You Will Be Doing
Understand the business, knowledge and insight.
Develop, transform large datasets and maintain robust data pipelines that can support various use cases with high performance.
Generate automated reports for customers with high-quality stand
Develop and maintain interactive reporting tools.
Stay informed of database changes to ensure reports are always working as expected.
Coordinate with the Engineering team on release cycles and operational suggestions to monitor releases to foresee any issues that may arise with the data pipelines and reports.
Follow best practices and processes established by the team.
About You
Advanced knowledge and experience using Python for data processing.
4+ years of in-depth practical experience with SQL and NoSQL.
Experience in large-scale deployment and performance tuning.
Development experience in Linux system environments.
Familiar with spinning up the infrastructure of Amazon AWS, Databricks.
Experience with ETL/ELT and integration flows in Airflow or similar.
Knowledge of data warehousing concepts.
Knowledge of BI technologies, methodologies and their application.
Knowledge of ELK Stack - Elasticsearch, Logstash, and Kibana using RESTful and JSON to build reporting solutions.
Ability to quickly learn new technologies and push the envelope for performance and reliability.
Good Docker/Kubernetes knowledge is a plus.
Strong analytical and problem-solving skills.
Results-orientated with the ability to meet deadlines.
Good communication and interpersonal skills as well as good written and spoken English skills.