Cloudthat·9 days ago
9 days ago
Sr Data Engineer - 6
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What you'll do
- 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
- 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).
What they're looking for
- 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
- Any bachelor's degree
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
About CloudThat:
At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have.
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 Functions
o Azure: Data Factory, Synapse Pipelines
o GCP: Dataflow, Cloud Composer
· Set up and manage cloud-based data warehouses (one of them):
o AWS Redshift
o Azure Synapse Analytics
o 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/Sub
o Stream processing with Apache Kafka, Apache Flink, or Spark Structured
Infrastructure 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:
Innovativeness
Proprietorship
Company
Cloudthat
Mumbai, India
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