Data Architect for Advanced Data Engineering Solutions
5 days ago
We are seeking a skilled Data Engineer to support our client's data management and analytics requirements within the Microsoft D365 ecosystem, focusing on Delta Lake architecture.
This role involves designing and maintaining data pipelines, troubleshooting issues, and ensuring data accuracy across platforms like Azure Synapse Analytics, Azure Data Lake Gen2, and SQL environments.
Responsibilities:- Work with Azure Synapse Pipelines and PySpark for data transformation and pipeline management.
- Perform data integration and schema updates in Data Lake environments, ensuring smooth data flow and accurate reporting.
- Collaborate with our Azure DevOps team on CI/CD processes for deployment of Infrastructure as Code (IaC) and Workspace artifacts.
- Develop custom solutions for our customers defined by our Data Architect and assist in improving our data solution patterns over time.
We require a candidate with extensive experience in SQL, including query writing and troubleshooting in Azure SQL, Synapse Analytics, and Delta Lake environments. Additionally, they should have strong expertise in implementing and supporting ETL processes, Data Lakes, and data engineering solutions.
Azure Synapse Analytics proficiency, including workspace management, pipeline development, and data flow management, is also essential. The ideal candidate will have hands-on experience with PySpark for data processing and automation, as well as ability to operate in secure environments using VPNs, MFA, RDP, and jump hosts.
Required Skills and Qualifications:- 5+ years of experience in the Dynamics 365 ecosystem, specifically with a strong background in PySpark development.
- Extensive experience with SQL, including query writing and troubleshooting in Azure SQL, Synapse Analytics, and Delta Lake environments.
- Strong expertise in implementing and supporting ETL processes, Data Lakes, and data engineering solutions.
- Proficiency in Azure Synapse Analytics, including workspace management, pipeline development, and data flow management.
- Hands-on experience with PySpark for data processing and automation.
- Ability to operate in secure environments using VPNs, MFA, RDP, and jump hosts.
- Some experience with Azure DevOps CI/CD IaC and release pipelines.
- Competitive salary: ₹1,500,000 - ₹2,200,000 per annum, depending on experience.
- Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
- Opportunities for career advancement and professional development.
- Inclusive and collaborative work culture.
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