Genio Academy

Design, develop, and maintain robust data pipelines and ETL processes.
Ensure the performance, reliability, and scalability of our data systems.
Optimize the efficiency of data processes and pipelines.
Work with large datasets using Big Data technologies such as Hadoop and Spark.
Develop and maintain data models and ensure data quality and integrity.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Analyze and solve complex data problems in a creative manner.
Provide support and ensure the satisfaction of data users.
Apply creativity and leverage new technologies to improve data engineering practices.Minimum of 4 years of experience in a Data Engineer position.
Proficiency in programming languages such as Python, Java, and Scala.
Strong knowledge of SQL and NoSQL databases.
Experience with Big Data technologies like Hadoop and Spark.
Proficiency with ETL tools and data platforms such as AWS Redshift, Google BigQuery, and Snowflake.
Solid understanding of database theory and practical experience with data modeling.
Excellent problem-solving skills and the ability to analyze complex data issues creatively.
Strong communication and teamwork skills.
Ability to ensure the performance and reliability of the data system.
Experience in optimizing data processes and pipelines.
Ability to assess the support level and satisfaction of data users.
Innovative mindset with the ability to apply new technologies effectively.Successful candidates will be able to sign a labor contract immediately, no need to go through a probationary period;
Salary shall be discussed during the interview;
Monthly working allowance when working at client's office;
5 working days per week (Monday-Friday), some extent flexible working hours;
Friendly, professional and open working environment;
Premium Heath Care Insurance 24/7 for Key Person;
Company Trip and Events, Birthday Party, Year End Party;
Labor Contract, Social insurance as Labor Law;
Training courses: Technical skills, Japanese;
Professional and Flexible Working Environment.