Data Engineer Specialist - Data Analytics - Analytics & Data Engineering

Department Icon Data Science Analytics & Machine Learning
Posted: 1 month ago
2-4 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 31 Oct 2026

Posted: 1 month ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Join Us!

At Google Operations Center we help Google users and customers solve problems and achieve their goals—all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us!

As Part Of Googles Stakeholders Team, We Ensure Our Users Have Access To Aligned, Accurate And Useful Business Metrics And Dimensions That Support Their Operations. We Deliver On Our Mission, And Collaborate With Our Partners To Achieve The Following

  • Single-source-of-truth data that is robust, high-quality and trusted
  • Informative visualizations supporting reporting and understanding
  • Automated insights and analyses that enhance decision making at all levels
  • Reporting infrastructure that is stable and scalable.

In understanding the user need, we partner directly with Googles Stakeholders, Managers to create & maintain dashboards, resolve bugs and work on feature requests. Where there is a gap between business requirements and available products, we prioritize the need, identify solutions and deliver resulting product initiatives.

Position Responsibilities

  • As a Data Engineer Specialist, youll develop the data infrastructure to ensure that Googles Stakeholders team members have the product, support, and operations data they need to make crucial business decisions.
  • Youll partner with our business and enablement teams to create visualization solutions and have the opportunity to design innovative data solutions while solving challenging problems using Googles large-scale production data infrastructure.

Required Skills

  • 2 years of experience working with advanced SQL: manipulating and managing large datasets to derive insights.
  • Technical expertise in building, troubleshooting and maintaining ETL pipelines, knowledge in OLAP technologies and data warehousing.
  • Hands-on experience developing and deploying applications utilizing Large Language Models (LLMs), including advanced prompt engineering techniques.
  • Proven ability to take defined business requirements and execute the technical implementation of AI/LLM solutions under minimal supervision.
  • Ability to handle multiple projects in a fast-paced environment.
  • Effective communication and leadership skills.
  • Excellent problem-solving and analytical skills.

Preferred Qualifications

Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable:

  • Basic to intermediate proficiency with Python
  • Building and maintaining relationships with key stakeholders.
  • Identifying and capitalizing on technical improvement and optimization opportunities.
  • Acting as a technical liaison between the business teams and Engineering.
  • Supervising the design of new data products and optimizing how they will perform.
  • Checking in and peer reviewing SQL.
  • Debugging, root causing, communicating and fixing data discrepancy issues.

Benefits

  • We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage
  • We support your family with gender-neutral baby bonding leave, 26 week birth-parent maternity leave, and generous life, accident and disability insurance minimums
  • Employees who work onsite can enjoy free meals and snacks, and fun onsite experiences

Information collected and processed as part of your Google Operations Center (GOC) jobs profile, and any job applications you choose to submit, is subject to GOCs Applicant and Candidate Privacy Policy.

Google Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

To ensure a barrier-free interview, please mention any required assistance or specific arrangements in your application and confirm them with your recruiter.

To all recruitment agencies: Google Operations Center (GOC) does not accept agency resumes. Please do not forward resumes to our jobs alias, GOC employees, or any other organization location. GOC is not responsible for any fees related to unsolicited resumes.

Thanks for your interest in this opportunity! Our recruitment team will contact you if your profile is a good fit for the role. If you dont hear from us within 2-3 weeks, please consider your application unsuccessful at this time. We value your patience throughout this time. For any questions, feel free to reach out to us at [HIDDEN TEXT].

Skills

PythonData WarehousingEtlImplementationVisualizationData EngineerPrompt EngineeringLarge Language ModelsAiSqlLlmLlmsData AnalyticsAnalytics

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About Company

Google is a multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, a search engine, cloud computing, software, and hardware.

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