Responsibilities

Translate business requirements to technical solutions leveraging strong business acumen.
Analyze current business practices, processes and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services.
Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.
Deliver of architectures for transformations and modernizations of enterprise data solutions using Azure cloud data technologies.
Design and Build Modern Data Pipelines and Data Streams.
Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.
Implement effective metrics and monitoring processes.
Travel as needed.

Requirements

Bachelor's degree in Computer Science, Engineering, or related field
More than 8 years of relevant work experiences
Demonstrated experience of turning business use cases and requirements to technical solutions.
Experience in business processing mapping of data and analytics solutions.
Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.
Mastery of Python and SQL is required
Knowledge of Azure Databricks, Azure Data Lake, Azure SQL Server, and Azure SQL is required.
Experience preparing data and transforming Data.
Experience in Data Migration is a plus.
Demonstrated experience preparing data and building data pipelines
Strong team collaboration and experience working with remote teams.
Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals.
Experience with Git/TFS/VSTS is a must.

Shortlisted candidates will be offered a 1 Year Agency Contract employment