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Sr Data Engineer - 6

JobMumbai, MH, India

Posted 11 Sept

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Skills for this role

Skills we detected for this role.

  • AWS
  • Google Cloud
  • Microsoft Azure
  • Terraform
  • Big Data
  • Apache Kafka
  • BigQuery
  • SQL
  • Python
  • Apache Airflow
  • PostgreSQL

Opportunity brief

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

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