Data Engineer Specialist - Data Analytics - Analytics & Data Engineering

Google Operations Center; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Health care (medical, dental, vision)

Parental leave and family benefits

Onsite meals and snacks

Job summary

Google Operations Center in Bengaluru seeks a Data Engineer Specialist to build data infrastructure that powers Stakeholders team decisions, dashboards, and insights using large-scale production data.

You will collaborate with business and enablement teams to design innovative data solutions, optimize ETL pipelines, and apply AI/LLM capabilities, with emphasis on delivering robust, scalable data products.

Qualifications

• 2+ years of experience with advanced SQL and large datasets.
• Experience building and troubleshooting ETL pipelines.
• Experience deploying AI/LLM solutions.
• Ability to translate business needs into technical implementations.
• Strong communication and leadership capabilities.
• Analytical problem-solving skills.

Responsibilities

• Develop data infrastructure for Stakeholders team to enable data-driven decisions.
• Partner with business and enablement teams to create visualization solutions and design data products.

Skills

Advanced SQL

ETL pipelines

OLAP technologies

LLMs / AI solutions

Multi-project management

Communication

Problem solving

Tools

Python

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!

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 Google's 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 Google's 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, you’ll develop the data infrastructure to ensure that Google's Stakeholders team members have the product, support, and operations data they need to make crucial business decisions.
• You’ll 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 Google’s 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

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