Overview:
Today SoftwareOne is a global leader in software and cloud portfolio management and is modernizing the way organizations budget and optimize their global IT spend from on-premises to the cloud.
SoftwareOne is a global cloud consulting partner that maintains the highest partner status across these hyperscalers, and we are looking for consultant trainee to join our team consulting team.
* Microsoft Azure (Gold Partner + Azure Expert MSP)
* Amazon Web Service (Premier Services Partner)
* Google Cloud Platform (Premier Partner)
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Responsibilities:
* Collaborate with stakeholders to understand Client's business objectives and requirements, and translate them into data and AI solution designs.
* Design and architect end-to-end data pipelines, including data ingestion, storage, processing, and visualization components.
* Work closely with data architect and data engineers to ensure the reliability, scalability, and performance of data and AI solutions.
* Evaluate and recommend appropriate technologies, tools, and frameworks to support data and AI initiatives for potential clients.
* Provide technical guidance and mentorship to clients on data architecture and AI best practices.
* Collaborate with cross-functional teams, including software developers, business analysts, and project managers, to ensure successful delivery of data and AI projects.
* Stay updated on the latest trends and advancements in data science, machine learning, and artificial intelligence, and assess their potential impact on our solutions and services.
* Communicate effectively with stakeholders, including presenting technical concepts and solution designs to non-technical audiences.
Qualifications:
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* Bachelor's degree in Computer Science, Software Engineering, or related field.
* Minimum of 5 years of proven experience.
* At least 3 years of experience working in software development within cloud platforms and minimum 2 years of experience working in Pre-sales architecture.
* Proficiency in designing architectures focused on APIs and application integration.
* Experience in defining architectures within Azure, leveraging Azure Data Services such as Azure analysis services, Azure SQL, Azure Data Factory, Azure Databricks, Fabric, and Power BI Services.
* Expertise in designing and implementing Data Warehouses, Datamarts, and Datalakes.
* In-depth understanding of both relational and non-relational databases.
* Competence in data integration, automation, and monitoring.
* Ability to translate business requirements into scalable and efficient technical solutions.
Behavioral Skills:
* Effective communication skills to interact with clients and team members.
* Strong problem-solving abilities to address complex technical challenges.
* Adaptability to work in a dynamic and fast-paced environment.
* Collaboration skills to work effectively within cross-functional teams.
* Attention to detail to ensure accuracy and quality in architectural designs.
Desirable Qualifications:
* Relevant certifications in Data Science, Machine Learning, or Artificial Intelligence.
* Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
* Advanced knowledge of programming languages such as Python or R.
* Experience with big data technologies like Hadoop, Spark, or Kafka.
* Work experience with containers and basic infrastructure knowledge.
* Proficiency in consuming services from AWS and Azure, including the ability to work with cloud calculators.
* Familiarity with Serverless computing and continuous monitoring of applications.
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