Data Engineer (KKPS)

Job Summary

Role and Responsibilities / หน้าที่ความรับผิดชอบ

•    Create and maintain optimal data pipeline architecture.
•    Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Databricks technologies.
•    Work with stakeholders including the executive, product, data, and design teams to assist with data-related technical issues and support their data infrastructure needs.
•    Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
•    Assemble large, complex data sets that meet functional and non-functional business requirements.
•    Monitor and maintain reliability of big data platform and related tools.
•    Collaborate with cross-functional teams to deliver the data features and products.
•    Control and automate the deployment process of data API, job, and data pipeline on the platform.

Qualifications / คุณสมบัติ

•    5 years of experience in building and optimizing ‘big data’ data pipelines, architectures, and data sets.
•    Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) and working familiarity with various databases.
•    Strong analytic skills related to working with unstructured datasets.
•    Experience supporting and working with cross-functional teams in a dynamic environment.
•    Experience with big data tools: Hadoop, Hive, Spark, Presto.
•    Experience with cloud services: AWS, Microsoft Azure is a plus.
•    Experience with relational SQL and NoSQL databases such as Postgres, Cassandra and MongoDB is a plus.

Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง