Principal Data Engineering Consultant
4 days ago
At Bornbix, we're on a mission to empower organizations through intelligent data solutions. As we continue to scale, we're looking for a Principal Data Engineering Consultant to lead high-impact data transformation projects from architecture to implementation for our global clients.
If you're passionate about data, cloud technology, and helping businesses unlock the full potential of their information, this is the perfect opportunity to make an impact.
What You'll Do
- Design, build, and deliver modern data platforms using technologies like Azure, AWS, Databricks, and Snowflake
- Lead technical engagements, advising clients on data strategy, architecture, and best practices
- Develop scalable data pipelines for analytics, AI, and ML workloads
- Mentor junior engineers and guide teams through technical challenges
- Collaborate with data scientists, analysts, and business stakeholders
- Stay ahead of the curve with emerging data engineering tools, frameworks, and methodologies
What You Bring
- 6+ years of experience in data engineering or data platform development
Expertise in:
- Microsoft Azure and cloud computing concepts
- Apache Spark – Databricks, Microsoft Fabric, or another Spark engine
- Python – we build most of our solutions in Python
- SQL – complex, high-performance queries and compute optimization
- Azure Data Factory or other cloud orchestration tools
- Azure Data Lake Storage and Delta Lake
- Unity Catalog, Purview, or other data governance tools
- Infrastructure as Code (IaC) tools such as Terraform and Azure DevOps
Nice-to-Haves
- Certifications in Azure Data Engineering or Databricks
- Experience with CI/CD pipelines and DevOps for data
- Familiarity with data governance and security frameworks
- Experience with Power BI or Tableau
- Exposure to streaming data technologies (Azure Stream Analytics, Event Hubs, IoT Hubs)
- Knowledge of distributed compute engines or parallel systems
- Experience building Azure Functions in Python or C#
Job Type: Full-time
Pay: ₹125, ₹180,000.00 per month
Work Location: Remote
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