Infosys is seeking an Azure and Databricks Cloud Data Engineer to enable digital transformation for clients in a global delivery model
Requirements
- Strong hands-on experience with Azure Data Factory (ADF) and Azure Databricks
- Proficiency in PySpark, SQL, and Python
- Experience with Delta Lake, Azure Data Lake Storage (ADLS), and Azure Synapse
- Solid understanding of data warehousing concepts and ETL/ELT processes
- Familiarity with CI/CD pipelines and DevOps practices in Azure
- DevOps (Terraform, Jenkins, Bricksflow, Github, Docker etc)
- Exposure to Databricks , Python Spark , AWS , SQL
Responsibilities
- Enable digital transformation for clients in a global delivery model
- Research on technologies independently
- Recommend appropriate solutions
- Contribute to technology-specific best practices and standards
- Interface with key stakeholders
- Apply technical proficiency across different stages of the Software Development Life Cycle
Other
- Bachelor’s degree or foreign equivalent required from an accredited institution
- At least 4 years of experience in Information Technology
- Candidate must live within commuting distance of Portland, OR or be willing to relocate
- Travel within the US may be required
- Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply
