Data Engineer

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.

· 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).

· 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

· 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

· 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.

· Leadership and Mentoring

· Business Acumen

· Communication Skills

Innovativeness

Proprietorship