Cloud Data & AI Engineer
Share
Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Cloud Data & AI Engineer
Employment: Full-time
At OSI Digital Inc we accelerate our clients digital transformation journey by delivering modern data solutions enabling them to unlock the full potential of their data with scalable cloud platforms intelligent analytics and AI-driven solutions. With deep expertise across data engineering cloud platforms advanced analytics and AI/ML our teams bring both technical mastery and business acumen to every engagement. We dont just implement toolswe build scalable future-ready solutions that drive measurable outcomes for our clients.
The ideal candidate combines strong data engineering integration and BI expertise with hands-on AI project execution supporting OSIs reputation for high-impact consulting in cloud and digital transformation spaces and will be a strong communicator capable of implementing projects from the ground up.
Key Responsibilities:
Preferred (Added Advantage) Qualifications:
Employment: Full-time
At OSI Digital Inc we accelerate our clients digital transformation journey by delivering modern data solutions enabling them to unlock the full potential of their data with scalable cloud platforms intelligent analytics and AI-driven solutions. With deep expertise across data engineering cloud platforms advanced analytics and AI/ML our teams bring both technical mastery and business acumen to every engagement. We dont just implement toolswe build scalable future-ready solutions that drive measurable outcomes for our clients.
Role Summary:
We are seeking a highly skilled and results-driven Modern Cloud Data and AI Engineer with a strong background in modern cloud data architecture specifically on Snowflake and hands-on experience in developing Data solutions in Power BI implementing AI Solutions.The ideal candidate combines strong data engineering integration and BI expertise with hands-on AI project execution supporting OSIs reputation for high-impact consulting in cloud and digital transformation spaces and will be a strong communicator capable of implementing projects from the ground up.
Key Responsibilities:
- Lead the design development and implementation of highly scalable and secure data warehouse solutions on Snowflake including schema design data loading performance tuning and optimizing cloud costs.
- Design and build robust efficient data pipelines (ETL/ELT) using advanced data engineering techniques. This includes hands-on experience in data integration via direct APIs (REST/SOAP) and working with various integration tools (e.g. Talend stitch Fivetran or native cloud services).
- Develop and implement high-impact visual analytics and semantic models in Power BI. Apply advanced features such as DAX Row-Level Security (RLS) and dashboard deployment pipelines.
- Proficiency in Python/R familiarity with ML frameworks (scikit-learn TensorFlow PyTorch) experience with MLOps concepts and deploying models into a production environment on cloud platforms.
- Develop and deploy AI/ML solutions using Python Snowpark or cloud-native ML services (AWS Sagemaker Azure ML).
- Exposure to LLM/GenAI projects (chatbot implementations NLP recommendation systems anomaly detection) is highly desirable.
- Implement and manage data solutions utilizing core services on at least one major cloud platform (AWS or Azure).
- Demonstrate exceptional communication and articulation skills to engage with clients gather requirements and lead project delivery from ground up (inception to final deployment).
- Minimum of 4 years of professional experience in data engineering consulting and solution delivery.
- Bachelors degree in computer science Engineering or a related technical field. A masters degree in a relevant field is highly preferred.
- Strong hands-on experience in end-to-end Snowflake project implementation. Any professional certifications in snowflake preferred.
- Expertise in designing building and maintaining ELT/ETL pipelines and data workflows with a solid understanding of data warehousing best practices.
- Hands-on experience implementing dashboards in Power BI including DAX and RLS. Professional certifications in Power BI are preferred.
- Proficiency in Python with demonstrable experience deploying at least one AI/ML project (e.g. Snowpark Databricks SageMaker Azure ML) including feature engineering model deployment and MLOps practices.
- Experience with machine learning frameworks such as scikit-learn TensorFlow or PyTorch and hands-on exposure to production deployments.
- Familiarity with projects involving LLM/Generative AI (e.g. chatbots NLP recommendation systems and anomaly detection).
- Hands-on experience working with cloud platforms specifically AWS or Azure.
- Excellent verbal and written communication presentation and client-facing consulting skills with proven track record of successfully leading projects from inception.
Preferred (Added Advantage) Qualifications:
- Experience with Tableau or other leading BI tools.
- Working knowledge of Databricks (e.g. Spark Delta Lake).
- Experience or strong understanding of Data Science methodologies and statistical modeling.
- Relevant industry certifications including Power BI Snowflake Databricks and AWS/Azure Data/AI credentials.
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
OSI Digital is a global leader in offering expert business and technology solutions across industries that accelerate digital transformation for our customers.
