Cloud Data Engineer

2 days ago


Mumbai, Maharashtra, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

**Job Overview**

We are seeking a skilled professional to join our data engineering team. The ideal candidate will have strong experience in Google Cloud Platform (GCP), ETL development, and hands-on expertise in Big Query, Composer, and Dataform.

The successful applicant will be responsible for designing and building robust and scalable ETL workflows using tools like Informatica or equivalent. They will work on GCP services, primarily Big Query, Composer, and Dataform for data orchestration and transformation. Additionally, they will write efficient and reusable PL/SQL scripts for data processing and automation.

Key Responsibilities:

  • Design and build robust and scalable ETL workflows using tools like Informatica or any equivalent.
  • Work on GCP services, primarily Big Query, Composer, and Dataform for data orchestration and transformation.
  • Write efficient and reusable PL/SQL scripts for data processing and automation.
  • Understand, implement, and maintain data warehouse architecture and models.
  • Collaborate with business and technical teams to gather requirements and deliver end-to-end data solutions.

Must-Have Skills:

  • Proven experience with ETL tools (preferably Informatica).
  • Strong knowledge and hands-on experience with GCP, particularly: Big Query, Cloud Composer, Dataform.
  • Proficiency in PL/SQL development.
  • Solid understanding of data warehouse concepts and architecture.
  • Strong SQL and data transformation capabilities.

Benefits:

This is a hybrid role based in Pune, offering a flexible work environment and opportunities to work on modern cloud-based data solutions. We value innovation, quality, and collaboration and offer exposure to global data engineering projects.

Others:

We are looking for immediate joiners who can onboard quickly and are willing to collaborate effectively in a hybrid team setup. If you are passionate about working on complex data pipelines and building scalable data warehouse solutions, we encourage you to apply.


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