What is GCP Data Engineer?
Last updated 1st.Dec.2023
What is GCP Data Engineer?
A GCP Data Engineer specializes in designing, building, and maintaining data processing systems on the Google Cloud Platform (GCP). They are responsible for developing solutions for collecting, storing, processing, and analyzing large volumes of data to derive meaningful insights. This includes designing data pipelines, ensuring data quality and reliability, implementing data security measures, and leveraging GCP’s tools and services like BigQuery, Dataflow, and Dataprep for efficient data processing. With a strong background in data engineering and programming languages such as Python or Java, they play a crucial role in building robust and scalable data infrastructure that supports an organization’s data-driven decision-making processes.
Related to GCP Data Engineer
A proficient Gcp data engineer is responsible for designing systems for data collection and navigation. Building data pipelines requires solid expertise in various data storage systems and frameworks, and the application of data engineering principles through the Google Cloud Platform is a key responsibility of a GCP data engineer.
The average annual income for a GCP Data Engineer in India is ₹8.0 Lakhs, with a salary range of ₹4.0 Lakhs to ₹19.0 Lakhs.
The responsibilities of an Associate Cloud Engineer at GCP involve managing corporate solutions, overseeing operations, and installing applications.
Developing and honing coding language proficiency is recommended for this position, and enrolling in classes can help you achieve that.
- The average pay for a TCS GCP Data Engineer in Hyderabad/Secunderabad is ₹5.6 Lakhs.
- The salary range for a GCP Data Engineer at TCS Hyderabad/Secunderabad is ₹3.6 Lakhs to ₹9.0 Lakhs.
The Gcp Data Engineer salary range at Accenture Hyderabad/Secunderabad is ₹3.8 Lakhs to ₹10.2 Lakhs.
To secure a position as a Google Data Engineer, a degree in computer science, statistics, informatics, information systems, or a related quantitative field is required.
SQL is a popular choice for data engineering due to its efficiency and transparency in database interaction. It is utilized for various data management tasks, including creating and modifying tables, views, and other database objects.
Google Cloud provides multiple options, including serverless, Kubernetes, virtual machines, and custom hardware, allowing you to choose the optimal environment for running your Python applications.
- Cisco Systems Data Engineers receive an average salary of $196,939 per year based on 1,043 reported salaries.
- Data engineers jobs at Amazon, IBM, and Capital One report average salaries of $140,142, $126,466, and $127,426, respectively.
Prepare for the Data Engineer Interview by:
- Learning SQL: Gain experience in building, modifying, and managing databases.
- Addressing coding challenges: Coding skills are crucial for data engineers.
- Practice designing ETL pipelines by creating data, ETL, or delivery pipelines.