Description

10-15 years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies on AWS data platform covering – Glue, EMR, RedShift, databricks etc. 

• At least one End-to-end AWS data platform implementation is a must covering all aspects including architecture, design, data engineering, data visualization and data governance (specifically data quality and lineage). 

• Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses, Data Lake and Data Marts. 

• Good hands-on knowledge on SQL and Data Warehousing life cycle is an absolute requirement. 

• Significant experience with data migrations and development, design, Operational Data Stores, Enterprise Data Warehouses and Data Marts. 

• Experience with cloud ETL and ELT in one of the tools like DBT/Glue/EMR or Matillion or any other ELT tool and exposure to Bigdata ecosystem (Hadoop). 

• Expertise with at least one of the Traditional data warehouses solutions on Oracle, Teradata, and Oracle Exadata. 

• Excellent communication skills to liaise with Business & IT stakeholders. 

• Expertise in planning execution of a project and efforts estimation. 

• Understanding of Data Vault, data mesh and data fabric architecture patterns. 

• Exposure to working in Agile ways of working. 

Education

Any Graduate