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Data Engineer, Devices and Services

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Google

13d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity

AI generated summary

  • You need a Bachelor's in a technical field, coding experience, communication skills, plus familiarity with Big Data, data modeling, scripting (Python), and GCP services.
  • You will design and maintain ETL processes, write SQL for data analysis, collaborate on data needs, enhance data warehousing practices, and document pipelines for effective knowledge sharing.

Requirements

  • Minimum qualifications:
  • Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.
  • Experience scripting, working with code, or system design.
  • Experience in communicating technical concepts to various audiences.
  • Preferred qualifications:
  • Experience with Big Data technologies.
  • Experience with data modeling and schema design.
  • Experience working with large datasets and distributed systems.
  • Experience with scripting languages such as Python for data analysis, and automation.
  • Experience with Google Cloud Platform (GCP) services associated to data engineering (e.g., BigQuery, Dataflow, Dataproc).

Responsibilities

  • Design, develop, and maintain data pipelines and Extract-Transform-Load (ETL) processes on Google Cloud Platform (GCP) and other platforms for the Devices organization's centralized data warehouse.
  • Write SQL queries for data ETL and ad-hoc analysis. Work with large datasets using Big Data technologies and frameworks.
  • Partner with business stakeholders to understand data needs and translate them into technical solutions.
  • Contribute to the development and improvement of data warehousing best practices and standards within the team. Develop and maintain data quality systems.
  • Document data pipelines, processes, and data models for maintainability and knowledge sharing. Collaborate with other data engineers and analysts within the team to deliver data solutions.

FAQs

What is the preferred educational background for this position?

The preferred educational background for this position is a Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.

What programming skills are required for the Data Engineer role?

The role requires experience with scripting languages such as Python for data analysis and automation, as well as experience working with code and system design.

Are there specific technologies or platforms I need to be familiar with for this job?

Yes, familiarity with Big Data technologies and Google Cloud Platform (GCP) services associated with data engineering, such as BigQuery, Dataflow, and Dataproc, is preferred.

Will I be working with large datasets in this role?

Yes, the role includes experience working with large datasets and distributed systems.

How important is communication in this position?

Communication is very important in this role; you will need to communicate technical concepts to various audiences and partner with business stakeholders to understand their data needs.

What are the primary responsibilities of the Data Engineer?

The primary responsibilities include designing, developing, and maintaining data pipelines and ETL processes, writing SQL queries, and collaborating with team members to deliver data solutions.

Is there an opportunity for innovation in this position?

Yes, this position allows for the development of innovative, cutting-edge solutions while balancing business and partner needs with technical constraints.

What is the work culture like at Google?

Google is an equal opportunity workplace committed to diversity and inclusion, ensuring a work environment that respects all individuals regardless of race, gender, or other characteristics.

Is prior experience with data warehousing best practices required?

While not mandatory, experience contributing to the development and improvement of data warehousing best practices and maintaining data quality systems is preferred.

What location options are available for this role?

This position allows you to choose your preferred working location from Hyderabad, Telangana, India, or Gurugram, Haryana, India.

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