• Contributing to the Design and Architecture of Pluangs Data Platform.
• Designing and implementing near real time ETL pipelines for syncing data to Data Lake and Data Warehouse.
• Building real time analytics solutions using frameworks like Kafka Streams and Apache Flink.
• Leveraging Big data technologies like Apache Spark and HDFS for developing data
• processing jobs.
• Working with the Data Science team for developing a Machine Learning Platform for deploying ML models.
• Implementing monitoring and alerting framework for the Data Platform.
• Ensuring the scalability and availability of the Data Platform.

Basic Qualifications:

• Bachelors degree in Computer Science or related technical field.
• Strong knowledge of working with Apache Spark using Python or Scala programming languages.
• Proficient with Apache Kafka or other data streaming technologies.
• Strong analytical and quantitative problem-solving ability.
• Excellent communication skills including ability to communicate with peers and management.

Preferred Qualifications:

• Knowledge of Google Bigquery Data Warehouse.
• Hands-on experience of working with serverless technologies like AWS Lambda or GCP
• cloud functions.
• Experience in developing ETL pipelines using Apache Airflow.
• Fintech experience would be preferred.