Data Engineer - Google Cloud Platform (5-7 yrs)

We are looking for a Google Cloud Data Engineer who will help us build a highly scalable and reliable platform to match our exponential growth.

As a Google Cloud Data Engineer, you will be responsible for building a solid back end infrastructure which will enable data delivery in near real-time using next-gen technologies.

Title : Google Cloud Data Engineer.

Location : Remote Work.

Employment Type : Full Time.

Work Timings : 2PM to 11 PM.

No of Openings : 3.

We are looking for a candidate with Google Cloud Data Engineering experience only who can join us within 15 days or less.

Applications not meeting this requirement will not be considered.

Roles and Responsibilities :

- Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).

- Implement data processing solutions using GCP services such as BigQuery, Dataflow, Data Proc, Pub/Sub, and Cloud Storage.

- Optimize data processing and storage for performance, cost, and scalability.

- Ensure data quality and integrity by implementing best practices for data governance and monitoring.

- Develop and maintain documentation for data pipelines, architectures, and processes.

- Stay up-to-date with the latest advancements in data engineering and GCP technologies.

Qualifications :

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Proven experience as a Data Engineer with a focus on Google Cloud Platform (GCP).

- Proficiency in GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and others.

- Strong programming skills in Python, Java, or similar languages.

- Experience with SQL and relational databases.

- Familiarity with data modeling, ETL processes, and data warehousing concepts.

- Knowledge of best practices in data security and privacy.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills.

Preferred Skills :

- Google Cloud Data Engineer certification.