*We are unable to sponsor for this permanent Full time role*

*Position is bonus eligible*

Prestigious Global Firm is currently seeking a Senior Azure Data Engineer. Candidate will drive the data integration solutions in terms of design, build and deployment, DevOps with best-in-class data models, data quality and data architecture standards Candidate will possess strong data capabilities in terms of data analysis, data models, and hands on expertise in crafting and deploying data pipes using Azure data platform and tools, as well as enterprise ETL tool Talend, leveraging its DQ, DI and Data Catalogue features.

Responsibilities:

• Accountable for the technical leadership regarding the data integration solutions and delivery. Ensuring a sound and best in class design, with enterprise implementation, deployment and operational meets the technical quality standards
• Responsible for planning and coordinating in carving out the needed dev/test environments, as well as defining and managing code branching/config strategies supporting concurrent releases
• Works with Data and Enterprise architecture team to define the data integration design/coding/deployment/operational standards and technology stack
• Responsible for data operations, in terms of scheduling, successful execution, and reconciliation of the data pipes in production
• Works collaboratively with other dev teams to guide and review their deliverables against the set standards
• Works collaboratively with Data Analytics, applications, DBA, and cloud operations teams to ensure end to end integrity and usage of data assets.
• Provides inputs in shaping DevOps and DataOps practices
• Partners with internal and external data experts to infuse innovation with focus on cross training and upskilling the existing teams.

Qualifications:

• Bachelor's degree in data, computer science or relevant discipline.
• 8+ years of experience in ETL, ELT and data engineering
• At least 3+ years of working experience on Azure data platforms
• Experience working in agile delivery, Jira usage and other agile delivery best practices
• Data architecture, Data Modeling, and data visualization experience is a plus
• Ability to interact with business, other teams to create data mapping documents, ETL architecture/design artifacts, performance improvements, improve delivery & operational excellence.
• 8+ years of end-to-end implementation experience of deploying enterprise data warehouse, data mart and data lake solutions
• 3+ years of working experience with Azure data solutions including but not limited to ADLS, Data Bricks, ADF, Synapse etc
• Azure ADLS/Databricks administration experience
• 5+ years of Implementation and maintenance experience with Talend DI, DQ capabilities
• Demonstrable understanding of Data Governance, and enabling technical tools and technologies
• Certification in Azure cloud stack, Talend Data Integration Certified Administrator/Developer will be a plus