Data Platform Engineer — Batch & Real-Time Data Warehouse

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance in Singapore is seeking a senior data platform engineer to empower the business with data. You will help build a data warehouse capable of batch and streaming data, and develop data products with useful metrics and dashboards to guide smarter business decisions.

You will collaborate with the business to translate requirements into scalable ETL, data modeling, and analytics solutions; apply NLP/ML where applicable and contribute to rollouts and releases of data system changes.

Qualifications

• 5+ years in software engineering and 2+ years in data engineering.
• Proficient in creating and maintaining complex ETL pipelines end-to-end with reliability and security.
• Familiar with data warehouse concepts and modeling.
• Familiar with at least 1 distributed computing engine (e.g. Hive, Spark, Flink).
• Familiar with at least 1 NoSQL database (e.g. HBase) is a plus.

Responsibilities

• Translate business requirements & end-to-end designs into technical implementations and build batch and real-time data warehouse.
• Manage data modeling design, writing, and optimizing ETL jobs.
• Collaborate with the business team to build data metrics based on data warehouse.
• Responsible for building and maintaining data products.
• Involvement in rollouts, upgrades, implementation, and release of data system changes.
• Develop analytics applications to transform raw data into meaningful information using data-oriented languages and visualization software.
• Apply data mining, data modelling, NLP, and ML to extract and analyze information from large datasets.
• Visualize, interpret, and report data findings; create dynamic data reports.

Job description

ByteDance in Singapore is seeking a senior data platform engineer to empower the business with data. You will help build a data warehouse capable of batch and streaming data, and develop data products with useful metrics and dashboards to guide smarter business decisions.

You will collaborate with the business to translate requirements into scalable ETL, data modeling, and analytics solutions; apply NLP/ML where applicable and contribute to rollouts and releases of data system changes.