SDE - 2 - Data Engineering

We're looking for a passionate Sr. Software Engineer (SDE-2) - Data Engineer to develop scalable data pipelines and analytics solutions. You'll solve complex data challenges, optimize systems for performance, and collaborate with teams to drive data-driven innovation that fuels our growth.
Responsibilities:
Contribute to the design and architecture of Pluang's Data Platform, leveraging Apache Spark, HDFS, Kafka Streams, and ETL pipelines to sync data to the Data Lake and Data Warehouse.
Optimize data mart ETLs to make them scalable and efficient, collaborating with the Data Analytics teams to ensure business insights are delivered timely and accurately.
Build frameworks/infrastructure in GCP that enable data analysts to be able to deploy reporting more efficiently.
Build/maintain a data catalog platform to capture all the metadata and documentation of Pluang's vast datasets.
Contribute to the foundation infrastructure for implementing AI agents to maximize business value.
Implement monitoring and alerting frameworks to ensure the scalability, availability, and performance of the Data Platform, driving Pluang's data-driven future.
Requirements:
Bachelor's in Computer Science with expertise in Apache Spark, Apache Kafka, Google BigQuery, and serverless tech like AWS Lambda and GCP Cloud Functions.
Proficient in Python/Scala, building ETL pipelines with Apache Airflow/dbt, and working with data streaming technologies for real-time processing.
Strong analytical and problem-solving skills, with excellent communication abilities to collaborate across teams.
Fintech experience is a plus, with an understanding of the unique challenges in data engineering for the industry.

Experience
3-6 yrs