Sr Data Engineer - 2

Reposted One Month Ago
2 Locations
In-Office
Entry level
Cloud
The Role
Design cloud-native data and AI architectures, including data lakes, warehouses, ETL/ELT pipelines, real-time streaming systems, and infrastructure as code. Review architectural patterns, optimize performance and costs, align delivery with business objectives, support client presentations and workshops, and mentor junior team members. The role requires cloud solution design experience across AWS or Azure, knowledge of data and AI patterns, AI algorithm evaluation, communication skills, and an AWS Certified Solutions Architect Professional certification.
Summary Generated by Built In
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

Skills Required

  • Hands-on experience with cloud solution design using AWS or Azure
  • Strong knowledge of data lake, data warehouse, and AI patterns
  • Experience in AI algorithm design and evaluation
  • Excellent communication skills
  • Leadership and mentoring potential
  • AWS Certified Solutions Architect Professional certification
  • Bachelor's degree in any field
  • Experience building and orchestrating ETL or ELT pipelines with a cloud-native tool
  • Experience setting up and managing a cloud-based data warehouse
  • Experience implementing real-time data pipelines and stream processing
  • Experience with infrastructure as code tools such as Terraform, AWS CloudFormation, or Azure Bicep
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The Company
HQ: Tampa, FL
375 Employees
Year Founded: 2012

What We Do

CloudThat is the first company in India to offer Cloud Training & Cloud Consultancy services for mid-market & enterprise clients from across the globe. Founded by Bhavesh Goswami, an ex-Amazonian with more than 17 years of experience in the Cloud Computing space, CloudThat has been empowering tech professionals with the best cloud training and cloud consulting services. Our journey in the Cloud space has won us many accolades, such as the prestigious Finalist of Microsoft Learning Partner of the Year Awards 2022 and 2020. CloudThat is also a proud AWS Advanced Consulting Partner, VMware Authorized Training Reseller, Google Cloud Platform Partner, Microsoft Gold Partner and Databricks Partner. Since our inception in 2012, we have trained over 500K IT professionals from fortune 500 companies in different types of cloud computing technologies such as Microsoft Azure, Amazon Web Services, Artificial Intelligence, Machine Learning, Google Cloud Platform, IoT, OpenStack, and OpenShift, DevOps, MongoDB, Big Data and more. We have also delivered over 200 AWS consulting services to top companies in need of cloud solutions. We have a global presence with offices in Bengaluru (India), the UK, and the USA. Our on-site and pre-scheduled public batches are available in different IT-centric cities in India and Overseas.

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