Data Engineer

#BeOneofOurFaces!
Joining FACETOLOGY means becoming part of a dynamic beauty brand. We are a human-centric environment, driven by the purpose of enhancing quality of life through our products.
As a Data Engineer, you will:
Job Description
Develop, maintain, and optimize ETL/ELT data pipelines to ensure performance, scalability, and reliability.
Design and maintain data warehouse architecture and data models, including star/snowflake schemas and partitioning.
Build automated pipeline monitoring, alerting, data quality checks, and error-handling mechanisms.
Develop robust data ingestion processes from REST APIs, e-commerce/ad platforms, Excel/CSV, and other data sources.
Manage and optimize cloud data infrastructure, primarily using AWS, to improve efficiency and control costs.
Collaborate with Data Analysts and cross-functional teams to translate business requirements into reliable data solutions.
Only shortlisted candidates will be contacted by our recruitment team.
Qualifications
Minimum Bachelor’s Degree (S1) in Computer Science or Information Technology with a minimum GPA of 3.00/4.00.
2–4 years of experience as a Data Engineer or in a related data role.
Advanced proficiency in SQL and experience in query optimization and complex data transformations.
Hands-on experience with ETL/orchestration tools such as Apache Airflow, AWS Glue, GCP Composer, or Azure Data Factory.
Strong experience with AWS, GCP, or Azure; AWS experience is highly preferred.
Good understanding of data warehousing, dimensional modeling, APIs, data quality, and data pipeline monitoring.
Experience with AWS Glue, S3, Athena, EventBridge, CloudWatch, Spark/PySpark is a strong plus.
Only shortlisted candidates will be contacted by our recruitment team.