Data Platform Lead
7 days ago
Quantumbricks is seeking a highly skilled Senior Azure Data Engineer to lead our data strategy and design, develop, and implement data solutions on Azure. The successful candidate will be responsible for building scalable, efficient, and secure data platforms, working closely with cross-functional teams to drive our data strategy, ensure data integrity, and optimize data pipelines for performance.
The selected candidate will have over 10 years of experience in data engineering with at least 5+ years in Azure data solutions. They will also be responsible for integrating diverse data sources, optimizing database performance, and implementing robust data security policies.
Required Skills & Qualifications:
- Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- Experience: 10+ years of experience in data engineering with at least 5+ years in Azure data solutions
- Azure Expertise: Proficiency with Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, and Cosmos DB
- ETL/ELT Tools: Extensive experience with Azure Data Factory and other ETL tools (i.e., SSIS, Informatica)
- Big Data Technologies: Experience working with big data technologies like Hadoop, Spark, Databricks
- Programming Languages: Expertise in SQL, Python, Scala, or other relevant languages
- Data Warehousing: Strong experience with data modeling and building data warehouses on Azure Synapse or SQL Data Warehouse
- DevOps for Data: Familiarity with CI/CD tools such as Azure DevOps for automating data workflows and deployments
- Security & Compliance: In-depth knowledge of data security, privacy regulations (GDPR, HIPAA), and Azure's security frameworks (Azure Active Directory, RBAC, encryption)
- Salary: $150,000 - $200,000 per year depending on qualifications and experience
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