About the role
Role Overview:· Design and implement data lakes and data warehouses using cloud platforms.· Choose appropriate storage solutions (e.g., Amazon S3, Azure Blob Storage, Google Cloud Storage).
Key Responsibilities:· Design cloud-native data/AI architecture· Review and guide development on architectural patterns· Ensure delivery alignment with business objectives· Support client presentations and technical workshops· Manage junior team members and mentor in solutioning
Skills & Qualifications:· Hands-on experience with cloud solution design (AWS, Azure)· Strong grasp of data lake, data warehouse, and AI patterns· Experience in AI algorithm design and evaluation· Excellent communication and leadership potential· AWS Certified Solution Architect Professional
Education: Any bachelor's degree
Technical Competencies:· Build and orchestrate ETL/ELT pipelines using cloud-native tools (One of them):o AWS: Glue, Lambda, Step Functionso Azure: Data Factory, Synapse Pipelineso GCP: Dataflow, Cloud Composer
· Set up and manage cloud-based data warehouses (one of them):o AWS Redshifto Azure Synapse Analyticso Google BigQuery
· Optimize performance, partitioning, and cost-efficiency.
· Implement real-time data pipelines using (one of them):o AWS Kinesis, Azure Event Hubs, Google Pub/Subo Stream processing with Apache Kafka, Apache Flink, or Spark StructuredInfrastructure as Code (IaC)
· Use tools like Terraform, AWS CloudFormation, or Azure Bicep to provision and manage cloud resources.
Behavioural Competencies:· Leadership and Mentoring· Business Acumen· Communication Skills
Core Value Competencies:InnovativenessProprietorship