GCP Data Engineer
1 month ago
Position: GCP Data Engineer and DevOps Specialist
Experience: 6-9 Yrs
Location: Bangalore
Notice Period: Immediate - 60 Days
Primary Skills: GCP, Devops, Python, GCP Certification is mandatory
Required Skills and Qualifications:
- Strong experience with Google Cloud Platform (GCP) services, including BigQuery, Cloud Run, Cloud Functions, Pub/Sub, Dataflow, and Cloud Composer.
- Expertise in SQL, with the ability to write optimized queries for large datasets.
- Proficiency in Python for data engineering tasks.
- Experience with DBT (Data Build Tool) for building and managing data transformations.
- Solid understanding of cloud infrastructure management and automation using Terraform.
- Familiarity with GitHub for version control and collaboration in an Agile development environment.
- Knowledge of DevOps practices and experience with CI/CD pipelines.
- Excellent communication skills, with the ability to effectively collaborate with stakeholders and cross-functional teams.
- Familiarity with Agile methodologies and experience working in an Agile environment.
Responsibilities:
- Take end-to-end responsibility to build, optimize and support of existing and new data products towards the defined target vision
- Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).
- Ensure that our built data products work as independent units of deployment and non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance.
- Work close to the Product Owner and other stakeholders around vision for existing data products and identifying new data products to support our customer needs
- Work with product teams within and outside our domain around topics that relate to the data mesh concept.
- Evaluate and drive continuous improvement and reducing technical debt in the teams
- Maintain expertise in latest data/analytics and cloud technologies
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