Azure - Data Engineer
Dicetek LLC
Date: 2 weeks ago
City: Abu Dhabi
Contract type: Contractor
Key Points
Secondary Tech skills - SAS DIS, SAS Macros, and SAS Enterprise Guide
Job Description
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.
- 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
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.
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.
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