Data Engineer: Build Scalable ETL Pipelines

Google; Juneau (AK); On-site; USD 27,552 - 41,328; Full time

Job summary

Google in Juneau, USA is seeking a Data Engineer to design and maintain data pipelines, warehouses, and analytics reporting that power business decisions. The role requires a Bachelor’s degree and hands-on experience with SQL/NoSQL, data modeling, and at least one OO language.

You will work with cross-functional teams, implement scalable ETLs, and optimize data flows using Hadoop or Dataflow on distributed systems.

Qualifications

• Bachelor degree or equivalent practical experience.
• 2 years of experience in data modeling, data warehouses, and using SQL and NoSQL data stores with data processing using traditional and distributed frameworks.
• 2 years of experience with at least one object-oriented programming language (Java, C++, or Python).

Responsibilities

• Configure, build and maintain data pipelines, warehouses, and reporting systems to address operations, customers, and product issues.
• Develop and load ETLs and reporting systems for new data using various traditional as well as large-scale distributed data systems.
• Collaborate with stakeholders and support teams to ensure our data system meets evolving needs.
• Write and review technical documentation, including design, development, and modification reports.

Skills

SQL

NoSQL

Data modeling

Python

Java

C++

Education

Bachelor's degree

Tools

Hadoop

Dataflow

ETL

Spark

Unix/Linux

Job description

Google in Juneau, USA is seeking a Data Engineer to design and maintain data pipelines, warehouses, and analytics reporting that power business decisions. The role requires a Bachelor’s degree and hands-on experience with SQL/NoSQL, data modeling, and at least one OO language.

You will work with cross-functional teams, implement scalable ETLs, and optimize data flows using Hadoop or Dataflow on distributed systems.