The Job

Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations

Teknik, data och digitalt · Data, AI och analys · Data engineering · Datavetenskap · Mjukvaruutveckling

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I korthet

Join gTech as a Data Engineer to design and build foundational data infrastructure using Google's proprietary tech stack. You will architect innovative data pipelines and solutions for large-scale issues, contributing to a reliable Single Source of Truth and enabling AI-driven business decisions.

Ansvarsområden

  • Design, develop, test, and maintain reliable and scalable data pipelines and 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.
  • 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.

Krav

  • 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.

Önskade kvalifikationer

  • 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.
#data engineering#data architecture#gtech#strategy#operations#big data#etl#elt#sql#python#hadoop#spark#machine learning
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Företag

Google

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för 1 vecka sedan

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Heltid

Arbetsform

På plats

Erfarenhetsnivå

Medarbetare

Platser

Gurugram, India

Hyderabad, India

Kvalifikation

Kandidatexamen, Masterexamen

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