Data Engineer, Merchant Shopping

Google is building scalable data products and applying artificial intelligence and machine learning to power its advertising business and improve ad quality. The Data Engineer, Merchant Shopping role focuses on designing, building, and scaling durable data products, automated pipelines, data infrastructure, and validation frameworks while bridging software engineering, data engineering, and data science.

Responsibilities

Own challenging, non-routine problems end-to-end: identify the underlying need, process complex datasets, and apply advanced data engineering, data modleing, and architectural frameworks when needed

Proactively design, build, and scale innovative data products, including self-serve tools, and automated pipelines

Advance data infrastructure, product quality, and foundational understanding through automated validation frameworks, data quality, and reliabilyt monitoring

Operate with a high degree of autonomy, owning complex data engineering projects from initial conception to landing and impact

Advocate impactful data products while contributing to a team culture that values engineering excellence, robust data, and sharp communication

Preferred

Experience in technical consulting

Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments

Experience working with Big Data, information retrieval, data mining, or machine learning

Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments

Experience with Server Platform, Compute infrastructure, gcl, Spanner, or Flume

Technical Consulting

Data Warehousing

Data Warehouse Architecture

Infrastructure Components

ETL/ELT

Reporting Tools

Analytics Tools

Big Data

Information Retrieval

Data Mining

Machine Learning

Solution Architecture

Software Development

Internet-Scale Solutions

Production-Grade Solutions

Virtualized Environments

Server Platforms

Compute Infrastructure

GCL

Spanner

Benefits

15% bonus target

Equity

Company

Internet search and productivity software with AI products

Mountain View, California, USA

https://www.google.com/

Founded in 1998

10001+ employees

Qualifications

Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience

3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume)

Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript

Experience building and maintaining production data pipelines that rely on multiple upstream data sources

Experience writing automated tests and validation for data pipelines

Experience in technical consulting

Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments

Experience working with Big Data, information retrieval, data mining, or machine learning

Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments

Experience with Server Platform, Compute infrastructure, gcl, Spanner, or Flume

3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).

Required skills

Data Engineering, Hadoop, Spark, Pig, Hive, MapReduce, Flume, Java, C++, Python, Go, JavaScript, Production Data Pipelines, Automated Testing and Validation

Preferred skills

Experience in technical consulting

Experience

3+ years