GCP Data Engineer

Responsibilities:

-Design, develop, and implement ETL processes on Google Cloud Platform (GCP) to ensure efficient data extraction, transformation, and loading for EDW program.

-Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions on GCP.

-Utilize Google Cloud services, such as native services, BQSQL, DAG, Cloud composer, Dataflow, and Cloud Storage, to optimize data processing and storage workflows.

-Create and maintain documentation for ETL processes, ensuring clarity and transparency for future reference and troubleshooting.

-Perform data profiling, quality checks, and validation to ensure accuracy and integrity of data throughout the ETL pipeline.

-Troubleshoot and resolve issues related to data processing, ensuring timely and accurate delivery of data to end-users.

-Stay abreast of GCP updates, emerging technologies, and best practices in ETL development to continually enhance processes.

-Collaborate with data engineers, data scientists, and other stakeholders to enhance data integration and analytics capabilities.

2. Qualifications:

-Bachelor's degree .

- Proven experience as an ETL developer, with a focus on Google Cloud Platform, for at least 3-4 years.

-Strong programming skills in languages such as Python.

-Experience with data modeling, schema design, and database optimization.

-Solid understanding of data warehousing concepts and best practices.

-Excellent problem-solving and analytical skills.

-Strong communication and collaboration skills."