Principal Data Engineer
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Experience Required:
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Job Summary
Principal Data Engineer
We are looking for a Principal Data Engineer to design and drive enterprise-scale Data & Analytics solutions across Google Cloud Platform (GCP) and Azure.
You will work closely with senior client stakeholders Business Consultants and Product Owners to design and implement scalable data and analytics solutions.
GCP & Azure
- BigQuery
- Dataflow
- Pub/Sub
- Dataproc
- Cloud Composer
- Data Fusion
- Cloud Storage
- Azure Data Services
- Python
- SQL
- Spark
- Terraform
- CI/CD
- GitHub Actions
- Cloud Build
- Data Modelling
- Data Mesh
- Data Fabric
- Data Products
- Data Contracts
- Data Quality
- Metadata Management
- Data Governance
- Data Observability
- Event-driven Architecture
- Kafka
- AI / GenAI concepts
- Vertex AI
- Design and drive end-to-end Data & Analytics solution architecture
- Design conceptual logical and physical data models
- Drive GCP and Azure environment design and setup
- Review solution architecture and technology selection
- Mentor engineering analytics and business teams
- Advise on emerging cloud technologies
- Participate in pre-sales engagements and PoCs
- Contribute to technology strategy and thought leadership
- Proven experience delivering multiple enterprise data and analytics solutions
- Hands-on GCP Azure implementation experience
- Strong Python SQL and Spark skills
- Strong cloud data architecture background
- Excellent client-facing communication
- Ability to remain hands-on while providing technical leadership
- Notice period of 30 days or less
Only candidates with strong practical GCP Azure experience should apply.
Required Skills:
Content Strategy: Develop and execute a comprehensive content strategy aligned with the companys marketing goals. Content Creation: Write and edit high-quality content including blog posts landing pages case studies white papers social media content and email newsletters. SEO Optimization: Use SEO best practices to optimize content and increase organic traffic. Campaigns: Collaborate with the marketing team to create content for demand generation campaigns email marketing and social media. Product Messaging: Translate technical product features into compelling easy-to- understand content for our target audience. Data-Driven Decisions: Track content performance metrics and iterate based on insights. Collaborations: Work with internal teams and external influencers to develop case studies and guest blog posts.
Required Education:
Graduate
