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Application Engineer, Data

Location not specified · Experience not specified

Experience: Experience not specified
Salary: Not disclosed
Location: Location not specified
Work mode: Not specified
Job type: Full-time
Apply by: Closing date not listed
Posted: 12 Jun 36

About this role

Minimum qualifications:

Experience with SQL and Python programming.
Experience with Big data, Pipeline Management, Data Analytics, Data Warehousing, and Data Modeling.

Preferred qualifications:

Experience automating data reconciliations for large-scale financial data marts with low tolerances for data error.
Experience working with Big Data platforms such as BigQuery, F1, or Spanner.
Experience with Kimball data modeling and BUS architecture.
Experience with GCP stack.
Experience with AI/ML.
Knowledge of data warehousing concepts and best practices.

About the jobAt Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. With an inclusive mindset, we deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Responsibilities

Design, implement, and support business intelligence and problem-solving pipelines and applications using Google Cloud Platform (GCP), internal, and third-party tools.
Direct development of complex, big data pipelines and reporting solutions with extremely low tolerances for data error.
Lead design, data modeling, architecture, coding, performance tuning, testing, and support of problem-solving systems. Demonstrate ownership of the end-to-end Software Development Life Cycle (SDLC).
Maintain the highest levels of development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code.
Lead projects in a multi-stakeholder and dynamic environment to achieve team and project Objectives and Key Results (OKRs).

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Skills

Information Technology and Engineering