Job Description
Boost your career as a Senior Cloud Data Engineer specializing in DataOps. This role emphasizes hands-on experience with AWS Services, Databricks, and data engineering methodologies.
The ideal candidate brings extensive expertise in data engineering, focusing on tools like pandas and pyspark. Experience with AWS services such as Glue, Lambda, and S3 is essential, along with proficiency in handling structured and unstructured data. Knowledge in public sector operations will further enhance your fit for this role.
Key Responsibilities:
• Develop data lakehouse solutions using Databricks
• Extract and transform data with Informatica IDMC
• Manage data storage solutions across cloud platforms
• Design and implement ETL processes with AWS Glue
• Collaborate on project management for agile initiatives
Requirements:
• Extensive experience in data engineering roles
• Proficient with Python, SQL, and Linux shell
• Familiarity with cloud services like AWS and Azu...
The ideal candidate brings extensive expertise in data engineering, focusing on tools like pandas and pyspark. Experience with AWS services such as Glue, Lambda, and S3 is essential, along with proficiency in handling structured and unstructured data. Knowledge in public sector operations will further enhance your fit for this role.
Key Responsibilities:
• Develop data lakehouse solutions using Databricks
• Extract and transform data with Informatica IDMC
• Manage data storage solutions across cloud platforms
• Design and implement ETL processes with AWS Glue
• Collaborate on project management for agile initiatives
Requirements:
• Extensive experience in data engineering roles
• Proficient with Python, SQL, and Linux shell
• Familiarity with cloud services like AWS and Azu...
Apply for This Position
Ready to take the next step? Click the button below to submit your application.
Submit Application