Cloud Data Science Professional
1 week ago
Job Description:
We are seeking a Cloud Data Science Professional to join our team at BayOne Solutions. As a key member of our cloud data engineering team, you will be responsible for designing and implementing scalable, secure, and efficient cloud-based data architectures on platforms like Azure, AWS, and GCP.
About You:
To succeed in this role, you should have a minimum of 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms. Experience with ETL/ELT tools like ADF, Informatica, Talend, and data warehousing technologies like Azure Synapse, Azure SQL, Amazon Redshift, Snowflake, and Google Big Query is highly desirable.
You should also have strong experience with big data tools (Databricks, Spark etc.) and programming skills in PySpark and Spark SQL. Excellent communication and teamwork abilities are essential for success in this role.
Responsibilities:
- Design and implement scalable, secure, and efficient cloud-based data architectures
- Develop and maintain high-quality data pipelines using ETL/ELT tools
- Collaborate with cross-functional teams to ensure seamless integration with existing systems
- Stay up-to-date with emerging trends and technologies in cloud data engineering
About BayOne Solutions:
BayOne Solutions is a 12-year-old software consulting organization based out of Pleasanton, California, US. We specialize in providing talent and solutions and have a passion for diversity in tech. We help companies build teams by finding leaders and team players who are experts in their domains and fit in their culture.
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