Job Description
Duration: 1 year + Extension Type: Onsite Responsibilities
Design, develop, test, implement, and troubleshoot data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue, complex data transformation procedures, data models for data warehouses and lakehouses. Experience and Skill Set Requirements
Data manipulation/analysis using pandas and pyspark. Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data. AWS and/or Azure services. Cloud data warehouse solutions such as AWS Redshift. Data lakehouse solutions such as Databricks (Delta Lake). Data processing orchestration/automation. ETL tools such as Azure Data Factory, AWS Glue and cloud agnostic tools such as Informatica IDMC. Data modeling & architecture: relational and dimensional modeling. Full SDLC from requirements gathering, design, implementation, testing to deployment and production support. Project management (agile/scrum and waterfall)....
Design, develop, test, implement, and troubleshoot data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue, complex data transformation procedures, data models for data warehouses and lakehouses. Experience and Skill Set Requirements
Data manipulation/analysis using pandas and pyspark. Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data. AWS and/or Azure services. Cloud data warehouse solutions such as AWS Redshift. Data lakehouse solutions such as Databricks (Delta Lake). Data processing orchestration/automation. ETL tools such as Azure Data Factory, AWS Glue and cloud agnostic tools such as Informatica IDMC. Data modeling & architecture: relational and dimensional modeling. Full SDLC from requirements gathering, design, implementation, testing to deployment and production support. Project management (agile/scrum and waterfall)....
Ready to Apply?
Take the next step in your AI career. Submit your application to ITProFound today.
Submit Application