Data Engineer - Google Cloud Platform (5-10 yrs)

Key skills : Big Querry, Data flow, Data Composer, SQL, Python, Pyspark

Job description :

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 developer which will enable data delivery in near real-time using next-gen technologies.

Title : Google Cloud Data Engineer

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, Dataproc, Dataflow, Pub/Sub, and Cloud Storage, Cloud Function and other GCP services.

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

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

- 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.

- Knowledge of best practices in data security and privacy.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills.

- Knowledge on QIik Replicate for Data ingestion process.

Preferred Skills :

- Google Cloud Data Engineer certification