Cloud Data Engineer
2 weeks ago
Job Description:
We are seeking an experienced Cloud Data Engineer to join our team at Infometry. The ideal candidate will have a strong background in building, optimizing, and maintaining data pipelines and infrastructure on Google Cloud Platform (GCP). As a Cloud Data Engineer, you will work closely with our team to design, develop, and deploy scalable and efficient data processing systems using Python.
About the Role:
This role is responsible for designing, implementing, and maintaining large-scale data processing systems on GCP. You will work with our data engineering team to build robust and scalable data pipelines, leveraging Python libraries such as Pandas and NumPy. Additionally, you will collaborate with our cloud infrastructure team to ensure seamless integration of data processing systems with cloud storage solutions.
Requirements:
To be successful in this role, you will need to have a strong understanding of cloud computing concepts, data storage optimization techniques, and experience with Python programming language. You should also have hands-on experience with GCP, including familiarity with Google Cloud Storage, BigQuery, and Cloud Functions. In addition, you should have excellent problem-solving skills, ability to work collaboratively, and strong communication skills.
Preferred Qualifications:
We are looking for candidates who have experience with Apache Airflow or other orchestration tools, exposure to ETL/ELT processes and tools, and basic understanding of cloud computing concepts. Additionally, having knowledge of version control systems like Git is highly desirable.
Benefits:
We offer competitive salary: ₹800,000 - ₹1,200,000 per year, depending on your experience. Our benefits package includes medical insurance, paid time off, and professional development opportunities.
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