Lead data engineers and complex projects to completion.
Design, plan, prioritize and be responsible for the project.
Build scalable, maintainable data pipelines (batch/streaming-ingestion/ELT/ETL/data products) and ensure their quality/reliability/integrity.
Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility and foster data-driven decision-making across the organization.
Coach and mentor junior data engineers to develop their skills.
Your ideal profile:
B.S. in a related field e.g. Computer Science, Data Science, Business Administration, Financial Management, etc.
Fluent in both English and Thai.
Proficient with programming languages such as Python, SQL, or Scala.
Understand the concepts of Data Lake, Data Warehouse, and Data Mart.
Experience in Big Data technologies and their ecosystem such as Hadoop, Spark and Airflow.
Experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data as structured, semi-structured or unstructured data.
Experience in container management such as Docker.
Familiar with Cloud Computing Services such as AWS, Azure, or GCP.
Understand the process of data pipeline such as collecting, transforming, and publishing data.
Understand the tools and design platforms that allow processing of data from multiple heterogeneous sources with different frequencies (batch/real-time).
Innovative problem-solving skills with the ability to identify and resolve complex architectural issues.
Ability to translate and clearly formulate technical issues Project.
Skills
Data Warehouse
Computer Science
SQL
Python
Functions
Engineering
Job Overview
Job Type:
Contract
Company
Amity Solutions
20 active jobs
Industry:
Technology
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