Key Points

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field is necessary
Candidates with Master's degree in Computer Science will be preferred
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.

Other Skills

Must be team oriented with strong communication, collaboration, prioritization, and adaptability skill.

Ability to drive more than one tasks in parallel.

Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.

Strong work ethic with good time management with ability to work with diverse teams and lead meetings.

Azure - Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer