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Data Engineer at Google — Gurgaon

Experience1–2 yrs
SalaryNot disclosed
Work modeonsite
Leveljunior
Posted15 Sept 2026

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About Google

Google is hiring in Gurgaon in technology software. This role looks for around 1+ years of experience.

Skills

ETL/ELT
Python
SQL
Data Engineering
Database Administration
Java
C++
Go
JavaScript
Hadoop
Spark
Pig
Hive
MapReduce
Flume

The role

A data engineer at a technology software company designs scalable ETL/ELT architectures and data pipelines using Python and advanced SQL, modernizes data infrastructure, and delivers production-grade analytical environments. The role also applies Hadoop and Spark to data processing and data engineering.

Full job description

Google is hiring for the role of Data Engineer!

Responsibilities of the Candidate:

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.

Requirements:

Minimum 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.

Preferred qualifications:

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.