Data Engineering and Analytics, Google Data Centers

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; Austell, GA, USA.

Qualifications

Minimum qualifications:

• Bachelor’s degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or equivalent pratical experience
• 5 years of experience leading data engineering and data analytics, business intelligence, and data models using SQL and Python languages
• 5 years of technical program management experience in a data related domain

Preferred qualifications:

• Master's degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or related experience
• 2 years of experience developing real time streaming data pipelines using GCP BigQuery, Dataflow and Publish/Subscribe (Pub/Sub) from heterogeneous data sources (eg. Oracle, SAP, etc.), or predictive analytics/machine learning
• Experience leading organizational change efforts using data tools and solutions to improve organization efficiency

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

As a Technical Program Manager, you will architect and build data engineering processes and drive quality/consistency of data across business functions. You will use your technical and data expertise to establish robust data pipelines and solutions to facilitate trusted data availability across multiple systems. You will work with our Data Center business stakeholders to understand their data issues and challenges, utilize your technical expertise to build and deploy simple, efficient, secure, scalable data solutions, services, and insights. You will manage a portfolio of programs that help Data Center teams successfully operate, while transforming the organization by building and integrating the next wave of data solutions to increase trust in data, insights, and data-driven decision making.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Lead the technical delivery, implementation, and business adoption of new scalable and reliable data analytics and business intelligence solutions for cross-department leadership and business teams
• Build the infrastructure required for optimal ETL of data from a wide variety of data sources using Google Cloud Platform (GCP) technologies
• Implement real time data pipelines, predictive analytics, machine learning algorithms, and translate data and model results into strategic insights for leadership and business stakeholders
• Manage all aspects of program deliverables from project inception to implementation and resource oversight
• Traverse complex large datasets to extract business insights that directly help to maintain up-time of critical data center operations, and increase operating efficiency of teams responsible for designing and building Google’s data center footprint