• Collaborate closely with the engineering and product teams to validate data modules and requirements.
• Work in tandem with the DevOps team to maintain and operate our highly available and scalable data platform.
• Manage and optimize ETL processes for large datasets.
• Utilize technical stacks, including modern data platform tools such as Google Cloud, Clickhouse, BigQuery, Airflow, Dataflow, DBT, Dataform, Kafka, ZetaSql, and more.
• Apply knowledge of data warehousing concepts, data modeling, and SQL.
• Work with various databases, including MySQL, Clickhouse, PostgreSQL, MongoDB, and Elasticsearch.
• Utilize experience with cloud data platforms, such as AWS or GCP.
• Develop a strategic mindset and the ability to transform data analysis into meaningful business recommendations.

• Minimum of 3 years of experience in data engineering and analytics roles.
• Proven experience in ETL processes involving large datasets.
• Familiarity with modern data platform tools, including BigQuery, Clickhouse, Airflow, Dataflow, DBT, Dataform, Kafka, ZetaSql, and more.
• Demonstrate proficiency in programming with Python/Golang.
• Experience with big streaming data platforms.
• Knowledge of data warehousing concepts, data modeling, and SQL.
• Experience with cloud data platforms like AWS or GCP.
• Outstanding time management skills and the ability to manage multiple deadlines simultaneously.
• Excellent communication and storytelling skills.

PERSONALITY

• You have strong interpersonal and problem-solving skills
• You are well-organized and attentive to details to ensure all technical documents and materials are well documented throughout the whole development process.
• You have a strong passion for researching to maintain up-to-date knowledge of technology solutions, industry trends and best practices for the team
• You are highly adaptable, inspirational and possess an entrepreneurial spirit.