Should have at least 6 years of experience in data engineering

Should possess at least 3 years of UAE banking experience.

Candidates with both Azure and SAS data products experience will be preferred

Primary Tech skills – SQL, Python/PySpark, Azure- Delta Lake, Data Factory, DataBricks

Secondary Tech skills - SAS DIS, SAS Macros, and SAS Enterprise Guide

Job Description:

Techno-Functional covering entire life cycle of data warehouse and data cloud environment with experience in building data platforms development.

Technical co-ordination with Technical Lead, Architecture team, Data engineering team, BSA, and QE Team for the assigned projects.

Experience in designing/building/maintaining end-to-end architecture for Data Lakes, Data Warehouses and Data Marts

Expertise in Python & PySpark development

Experience of DWH, Data Integration, Cloud, Architecture, Design, Data Modelling,

Guide the team on data model on Azure Cloud and provide best solution for data.

Experience in Cloud data warehouse like Azure Synapse, Snowflake analytical warehouse

Experience working with structured and unstructured data.

Experience in ETL/Pipeline Development using tools such as Azure Databricks and Azure

Azure Data Factory with development expertise on batch and real-time data integration.

Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements.

Knowledge/Experience on SAS DIS, SAS Macros and SAS Enterprise Guide (EG)

Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies

Experience to own end-to-end development, including coding, testing, debugging and deployment.