Position: Data Engineer
Company: Resorcer
Experience required: 5y
English level: upper

Our Data Engineer will be responsible for building and enhancing our data pipelines from multiple data sources. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data flows and data acquisitions, and values data quality, data integrity and data availability.  Our Data Engineers thrive in flexibility and nimbleness, and their openness to coming up workflows and solutions in response to changing goals and needs across business areas.

Hands-on experience in GCP or other cloud services 

Experience with data structures and dimensional data modeling, data warehouse architectures, and data preparation (ETL)

Experience with designing and creating data pipelines and MLOps using programming languages like Python, Java, SQL, and Bash

Familiar with event streaming platform like Kafka, StreamSets, Confluent

Excellent in SQL development and optimization of existing SQL queries and procedures

Ability to manipulate and evaluate data with SQL to perform analysis on data quality and data integrity

Hands-on experience in Python for creating data pipelines and enhancing data systems for data availability, data integrity and data availability

Ability in catching and troubleshooting data issues in data correctness and timeliness

Experience in deploying data pipeline using automated CI approach

Ability to create reusable modular code based on DRY development for ease of development, testing and automation

Curious and motivated learner to new data engineering services such as DataPrep, Dataflow, Cloud Dataplex, etc.