
Cloud Data Engineer for Scalable ETL Processes
6 days ago
At our organization, we focus on delivering cutting-edge software solutions that meet the evolving needs of clients.
Job Description:- We are looking for a seasoned Cloud Data Engineer to design and implement scalable data pipelines using cloud-based services.
- Collaborate with data teams to understand requirements and translate them into robust data solutions.
- Proven experience with cloud data services such as AWS S3, Redshift, RDS, Glue, and Lambda is essential.
- A strong understanding of data architecture, data modeling, and data warehousing concepts is required.
- Strong programming skills in languages like Python, SQL, or Shell scripting are necessary.
- Experience with data pipeline and ETL tools such as Apache Airflow or AWS Data Pipeline is desirable.
The ideal candidate will have a strong background in cloud computing, data engineering, and data architecture. They should be able to work collaboratively with cross-functional teams to design, implement, and deploy scalable data pipelines.
Key Skills and Qualifications:- AWS, Azure, GCP services such as BigQuery
- Python programming language
- Devops practices
- 4-8 years of experience in the field
- Bachelor's degree in Computer Science or related field
This role offers a unique opportunity to work with cutting-edge technology and contribute to the development of innovative software products.
We are an equal opportunities employer and welcome applications from diverse candidates.
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