[Hiring] Azure Databricks Data Engineer @Iconma Portal

Role Description

Our client, an IT Services and Consulting company, is looking for an Azure Databricks Data Engineer – Snowflake for their Remote location.

• Design and optimize cloud data solutions using Azure Databricks and Snowflake SQL for trusted analytics.
• Collaborate with cross-functional teams to create scalable data models and pipelines on Azure.
• Design end-to-end data architectures on Azure integrating Azure Databricks and Snowflake SQL.
• Develop and refine enterprise data models on Azure aligned with business domains.
• Create optimized data ingestion and transformation pipelines using Azure Databricks.
• Implement efficient data warehousing structures in Snowflake using advanced SQL techniques.
• Collaborate with product owners, business analysts, and data scientists to translate requirements into data architecture designs.
• Establish and enforce data governance practices including data quality rules and access controls.
• Provide technical guidance on Azure services to design integrated cloud data solutions.
• Optimize Azure Databricks workloads through careful cluster configuration and resource monitoring.
• Drive continuous improvement of existing data platforms by analyzing performance bottlenecks.
• Document data architecture patterns, data flows, and design decisions clearly.
• Coordinate with security and compliance teams to embed privacy controls and access policies.
• Support incident resolution and root cause analysis for data issues.
• Guide peers on best practices for data modeling, coding standards, and testing approaches.

Qualifications

• Experience: 7 to 10 years in data engineering or data architecture roles.
• Required Skills: Azure Databricks, Azure Data, Snowflake SQL.
• Deep hands-on expertise in Azure Databricks including notebook development and performance tuning.
• Strong proficiency in Snowflake SQL with experience in designing schemas and writing complex queries.
• Solid understanding of Azure data ecosystem including Azure Data Lake and Azure Data Factory.
• Advanced knowledge of data modeling techniques such as dimensional modeling and normalized structures.
• Strong analytical and problem-solving skills to diagnose data quality issues and performance gaps.
• Clear communication with technical and non-technical partners.
• Ability to adapt within a hybrid work model managing collaboration across onsite and remote teams.
• Value ethical data usage and sustainability considerations.

Requirements

• Possess seven to ten years of professional experience in data engineering or data architecture roles.
• Exhibit deep hands-on expertise in Azure Databricks.
• Show strong proficiency in Snowflake SQL.
• Demonstrate solid understanding of Azure data ecosystem.
• Apply advanced knowledge of data modeling techniques.
• Use strong analytical and problem-solving skills.
• Communicate clearly with technical and non-technical partners.
• Adapt effectively within a hybrid work model.
• Value ethical data usage and sustainability considerations.

Benefits

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities