Data Team ,,,
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The role:
- 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.
What do we expect from you
- 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.
