Data Engineer Specialist - WebOps - Web Analytics

Google Operations Center; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Health insurance

Onsite meals and snacks

Generous parental leave

Job summary

Google Operations Center is seeking a Data Engineering Specialist in Bengaluru to build scalable ETL pipelines and provide analytics using BigQuery. You will collaborate with Marketing Managers to create dashboards, resolve data issues, and translate business requirements into data initiatives.

The role emphasizes data quality, scalable infrastructure, and collaboration across teams. You will develop robust data pipelines, optimize performance, and deliver actionable insights while maintaining

Qualifications

• 3+ years of experience working with advanced SQL and large datasets.
• Experience building, troubleshooting and maintaining ETL pipelines on GCP BigQuery and data warehousing.
• Ability to handle multiple projects in a fast-paced environment.
• Effective communication and leadership skills.
• Excellent problem-solving and analytical skills.

Responsibilities

• Develop ETL pipelines: Build fast, scalable pipelines for Google Analytics data to flow into BigQuery.
• Optimize performance: Troubleshoot and enhance data pipelines for faster responses.
• Perform analytics: Develop visualizations for impactful data insights to enable business decisions.
• Maintain code quality: Write clean SQL and adhere to Google standards for performance.

Skills

Advanced SQL

ETL pipelines

GCP BigQuery

Data warehousing

OLAP

Communication skills

Tools

GCP

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!

Role Overview:

As part of the Data Engineering 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 Marketing 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 Engineering Specialist, you’ll develop the data infrastructure to ensure that Google stakeholders 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.

• Develop ETL Pipelines: Build fast, scalable and reliable data pipelines for Google Analytics data to flow into GCP BigQuery

• Optimize Performance: Ensure existing data pipelines are optimized / troubleshooted for faster data responses

• Perform Analytics: Develop visualizations for impactful data insights to enable business decisions

• Maintain Code Quality: Build, optimize, clean the SQL code to ensure adherence to Google standards & optimal performance

Minimum Qualifications:

• 3+ years experience working with advanced SQL: manipulating and managing large datasets to derive insights.

• Technical expertise in building, troubleshooting and maintaining ETL pipelines on GCP BigQuery, knowledge in OLAP technologies and data warehousing.

• Ability to handle multiple projects in a fast-paced environment.

• Effective communication and leadership skills.

• Excellent problem-solving and analytical skills.

Preferred Qualifications:

• Basic to intermediate proficiency with GCP

• Building and maintaining relationships with key stakeholders.

• 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.

At Google Operations Center, we don’t just accept differences, we celebrate them. 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.

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 GOC’s 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.

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 don’t 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 [e-mail].