Overview
Remote
Depends on Experience
Full Time
Able to Provide Sponsorship
Skills
gcp
Job Details
This is a Full time role
*******No C2C**********
Title: Google Cloud Data Engineer
We are looking for a Google Cloud Data Engineer, They will be responsible for building a solid Data Integration pipelines by integration various source data which will enable data delivery in near real-time using next-gen technologies.
Roles and Responsibilities:
- Design, develop, and maintain scalable data pipelines on Google Cloud Platform (Google Cloud Platform).
- Implement data processing solutions using Google Cloud Platform services such as BigQuery, Python, Dataproc, Dataflow, Pub/Sub, and Cloud Storage, Cloud Function and other Google Cloud Platform services.
- Optimize data processing and storage for performance, cost, and scalability in Google Cloud Platform BQ.
- Ensure data quality and integrity by implementing best practices for data governance and monitoring.
- Develop and maintain documentation for data pipelines, and ETL Pipeline processes.
- Stay up-to-date with the latest advancements in data engineering and Google Cloud Platform technologies.
- Proven experience as a Data Engineer with a focus on Google Cloud Platform (Google Cloud Platform).
- Strong programming skills in Pyspark and Python and additional similar languages.
- Experience with SQL and relational databases.
- Familiarity with data modeling, ETL processes, and data warehousing concepts.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Preferred Skills :
- BigQuery, Python, Dataproc, Dataflow, Pub/Sub, Cloud composer/Airflow, Github
- Google Cloud Data Engineer certification is a good to have.
- A solid grip over programming languages, like Python, Scala, C++, etc.
- In-depth knowledge about SQL databases and ability to execute queries quickly.
- Knowledge of data warehousing and data modeling.
- Fundamentals of Google Kubernetes engine to design and develop Microservices for real-time data feeds.
- Conducting end-to-end analyses, including data collection, processing, and analysis.
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