Data Platform Engineer

Responsibilities

1. Cloud Migration & Platform Modernization

• Lead migration projects from legacy Hadoop/Cloudera platforms to Cloud Native environments
• Assess existing Big Data architecture and define migration strategy
• Perform component mapping between on-premise tools and cloud-managed services
• Design migration roadmap, cutover plan, rollback plan, and disaster recovery strategy
• Optimize cloud infrastructure cost, scalability, availability, and performance
• Support hybrid-cloud and multi-cloud architecture

2. Streaming & Data Engineering

• Design and develop real-time streaming pipelines using Apache Kafka and Apache Flink
• Build large-scale batch and streaming data processing using Apache Spark
• Implement Data Lakehouse architecture (Bronze / Silver / Gold)
• Optimize ETL/ELT workloads for performance and reliability
• Support CDC (Change Data Capture) and event-driven architecture

3. Data Transformation & Workflow Orchestration

• Develop and maintain ELT transformation workflows using dbt
• Design workflow orchestration pipelines using Apache Airflow
• Implement CI/CD pipelines for data platform deployment
• Automate infrastructure provisioning and operational tasks

4. Query Engine & Analytics Platform

• Design distributed query architecture using Trino
• Implement high-performance analytics platform using Apache Doris
• Support BI and dashboard platforms using Redash and Imply
• Optimize query performance and federated query architecture

5. AI/ML & MLOps Platform Support

• Support Data Science and AI platform environments using:
  • Jupyter Notebook
  • MLflow
  • Label Studio
  • Langfuse
• Support GPU-based AI/ML workloads
• Collaborate with Data Scientists and AI Engineers

6. Infrastructure & Operations

• Deploy and manage Big Data workloads on Kubernetes and Cloud platforms
• Configure monitoring, logging, backup, and disaster recovery
• Implement security best practices including IAM, encryption, and compliance controls
• Troubleshoot production issues and perform performance tuning
• Work closely with DevOps, DBA, Security, and Application teams

7. Solution Consulting & Presales

• Support solution consulting and presales activities for Big Data and Cloud solutions
• Participate in customer workshops, solution presentations, and technical discussions
• Assist in solution architecture, proposal preparation, and effort estimation
• Support POC, pilot implementation, and technical demonstrations
• Collaborate with internal and customer teams to support successful project delivery

Qualification:

Education

• Bachelor’s degree or higher in Computer Science, Information Technology, Engineering, or related fields

Experience

• Minimum 5 years experience in Big Data, Data Engineering, or Cloud Platform roles
• Minimum 3 years experience in Cloud Migration or Platform Modernization projects
• Experience migrating Hadoop/Cloudera ecosystems to cloud platforms
• Experience working in enterprise-scale environments

Technical Skills

• Strong hands-on experience with:
  • Apache Kafka
  • Apache Flink
  • Apache Spark
  • dbt
  • Apache Airflow
  • Trino
  • Apache Doris
• Strong SQL and Python programming skills
• Experience with Linux and Shell Script
• Experience with Kubernetes and Docker
• Understanding of Data Lakehouse Architecture
• Experience with Cloud platforms:
  • Oracle Cloud Infrastructure (OCI)
  • Amazon Web Services (AWS)
  • Microsoft Azure

Preferred Skills

• Experience with:
  • Redash
  • Imply
  • MLflow
  • Label Studio
  • Langfuse
• Experience with Terraform / Ansible
• Experience with CI/CD pipelines
• Knowledge of Data Governance and Security
• Experience with GPU or AI infrastructure

Soft Skills

• Strong analytical and problem-solving skills
• Good communication and presentation skills
• Strong stakeholder management skills
• Ability to work independently and as a team
• Leadership and mentoring capability
• Ability to work under pressure and manage multiple projects

Certifications (Optional)

• OCI Cloud Certification
• AWS Cloud Certification
• Kubernetes Certification (CKA/CKAD)
• Kafka / Spark / Databricks Certifications