Data Engineer, Analytics, Insights and Measurement, Google

Data Engineer
Karnataka, India, Bengaluru
February 24, 2026
Full Time

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Job Description

The Data Engineer, Analytics, Insights and Measurement role supports Google’s AIM team by designing and delivering reliable data infrastructure that enables actionable insights while protecting user privacy. The position combines practical data engineering work with direct client interaction to assist companies in expanding through dependable analytics and measurement and performance-based solutions.

Date Posted: NA

Expiration Date: NA

Qualification: Bachelor’s Degree or equivalent practical experience

Job ID: NA

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Key Responsibilities

  • Create and deliver recommendations, tutorials, blog articles, sample code, and technical presentations for diverse technical and business audiences.
  • Create data pipelines which will function safely while they transform data from various sources into usable data storage systems.
  • Establish data quality checks which will enable them to track data quality and control data governance to achieve precise and dependable data results.
  • Work together with data science and engineering and product and sales and finance departments to create data solutions based on their requirements.
  • Improve data infrastructure performance and efficiency because they need to support new analytics and measurement requirements.

Basic Requirements

  • Bachelor’s degree in Computer Science Mathematics or a related field or equivalent practical experience.
  • Three or more years of experience with data processing tools such as Hadoop Spark Pig Hive and algorithms like MapReduce or Flume.
  • The candidate should have experience in database administration and data engineering along with programming skills in Java C++ Python Go or JavaScript.
  • Demonstrate success in managing client projects while solving technical problems and collaborating with Engineering and Sales teams.

Preferred Qualifications

  • Knowledge of data warehouse systems which includes their architectural design and their ETL and ELT data processing pipelines and their analytical and reporting software tools. 
  • Practical experience with Big Data and information retrieval and data mining and machine learning systems.
  • Able to develop software applications by using contemporary web technologies and data processing tools which include NoSQL and MongoDB and SparkML and TensorFlow.
  • Develop and implement Big Data solutions that operate at production standards for both virtualized systems and cloud computing environments.

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