Data Engineer I: Build Scalable Pipelines & Data Lakes

Amazon; Vancouver; On-site; CAD 81,000 - 135,000; Full time

Job summary

Amazon Business seeks a data engineer to design and develop scalable data architectures, warehouses, and pipelines supporting data analyses and ML model development. You will collaborate with cross-functional teams to shape data storage and pipelines roadmap and implement robust data solutions at scale.

Ideal candidates bring 1+ years in data engineering, strong SQL and Python skills, and experience with big data tools (Hadoop/Hive/Spark).

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with one or more query languages (SQL, PL/SQL, HiveQL, SparkSQL).
• Experience with scripting languages (Python, etc.).

Responsibilities

• Design and develop data architecture, standards, and end-to-end scalable data applications and pipelines.
• Build and support data warehouse and data lake platforms for data analyses and ML model development.
• Develop collaboration with data engineering, software development, research, modeling and marketing teams.
• Define the data strategy and road map for storage and pipelines design and implementation.

Skills

Data architecture

Data modeling

Warehousing

ETL pipelines

SQL

Python

Tools

Hadoop

Hive

Spark

EMR

Informatica

ODI

SSIS

Datastage

Job description

Amazon Business seeks a data engineer to design and develop scalable data architectures, warehouses, and pipelines supporting data analyses and ML model development. You will collaborate with cross-functional teams to shape data storage and pipelines roadmap and implement robust data solutions at scale.

Ideal candidates bring 1+ years in data engineering, strong SQL and Python skills, and experience with big data tools (Hadoop/Hive/Spark).