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Gurugram · On-site · 1-4 Yrs · Oct 8
2 open roles1 posted in 7d2 in 30d
Hiring: Engineering
Job description
Overview
In most instances, this position requires in-person interviews as part of the hiring process.
Responsibilities
- Design, develop, test, and maintain reliable and scalable data pipelines and Extract, Transform, Load and Extract, Load, Transform (ETL/ELT) architectures using Google's distributed data systems (e.g., advanced SQL, Python).
- Contribute to the modernization of the Google Ads Data Infrastructure (GDI) and Customer Data Platform (CDP), optimizing data models to ensure our Single Source of Truth remains robust and performant.
- Partner closely with cross-functional stakeholders across gTech and Customer Engagement (CE) to translate evolving business requirements into actionable technical data solutions.
- Work seamlessly with Data Scientists and Business Analysts to transition analytical prototypes, metrics, and models into stable, production-grade reporting environments.
- Advocate data quality by authoring clear technical design documents, executing code reviews, and proactively resolving complex bugs and support escalations.
Qualifications
- Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
- 1 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
- Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
- Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.
- Master's degree or other advanced degree in Computer Science or related technical field or equivalent practical experience.
- Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
- Experience working with Big Data, information retrieval, data mining, or machine learning.
- Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
- Experience in a customer-facing or customer service role, with practice using AI technologies to augment, improve, or automate the development process.
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Job application FAQ
Last updated 23 October 2026
- How do I apply for Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations at Google India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Google India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations role at Google India?
- This is a mid-level Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.