JOB POST: Data Engineer at Google, Bengaluru: Apply Now

Applications are invited for Data Engineer at Google, Bengaluru for the year 2022. Online applications are open on the official website.

Data engineer Job Description

Data Engineers understand internal processes and what it takes to run Google at speed with its ever growing scale. As a Data Engineer, you’ll focus on solving problems and creating value for Googlers by building solutions that are reliable and scalable to work with the size and scope of the company.

You will play a major role in developing, deploying, and supporting Google’s internal business applications. You will be tasked with creating custom-built software on google stack, and you will be part of teams that implement vendor sourced enterprise software, configuring that software, customizing it, and integrating with other internal systems.

Data Engineer Eligibility

Minimum qualifications:

• Bachelor’s degree in Computer Science or related technical field, or equivalent practical experience.
• 3 years of industry experience in software development, data engineering, business intelligence, data science, or related field with experience in manipulating, processing, and extracting value from datasets.

Preferred qualifications:

• Master’s degree in Computer Science, or related field.
• Understanding of Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) and multiple scripting and languages (YAML, Python).
• Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Data Fusion, Dataproc, Dataflow, Data Catalog).
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.

Data Engineer Responsibilities

• Design, build and deploy internal applications to support our technology life cycle, collaboration and spaces, service delivery management, data and business intelligence among others.
• Work closely with analysts and business process owners to translate business requirements into technical solutions.
• Build internal solutions, with custom front ends (web, mobile) and backend services that automate business processes.
• Maintain highest levels of development practices including: technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code, with repeatable quality and predictability.

Click here to apply for Data Engineer at Google, Bengaluru.

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