■Requirements (1): Technical skills, Job experiences
【Minimum qualifications (Must Have)】
-3 years of practical experience in data / analytics with at least 1 year working in an engineering / BI role.
-At least 1 year of practical experience working on data pipelines or analytics projects with Python and SQL.
-5 years of practical experience in data / analytics with at least 2 years working in an engineering / BI role.
-Experience with NoSQL databases (DynamoDB, MongoDB, Elasticsearch, Redis, Neo4j, etc.)
-Strong knowledge and practical experience working with at least 3 of the following AWS services: S3, EMR, ECS/EC2, Lambda, Glue, Athena, Kinesis/Spark Streaming, Step Functions, CloudWatch, DynamoDB.
-Strong experience working with data processing and ETL systems such as Oozie, Airflow, Azkaban, Luigi, SSIS.
-Experience developing solutions inside a Hadoop stack using tools such as Hive, Spark, Storm, Kafka, Ambari, Hue, etc.
-Ability to work with large vo