Role & Responsibility :
- Designing developing implementing and translating business requirements and the overall organizational data strategy including standards principles data sources storage pipelines data flow and data security policies.
- Design and implement infrastructure components (Clusters VMs SQL Server Vnet Integrations) to support data migration deliverables on time and on budget.
- Collaborating with data engineers data scientists and other stakeholders to execute the data strategy.
- Communicating and defining data architecture patterns in the organization that guide the data framework.
- Support / lead data teams to develop secure scalable high-performance and reliable systems to support data migration data cleansing and reporting.
- Other activities to support data migration / data cleansing as needed by the project team.
- Transactional and Analytical Data Modeling expertise.
- Strong Data Governance and Data Quality principles and experience with incorporating best data quality practices in data pipelines.
- Progressive career with on-hands on Data Engineering experience.
Required Qualifications
1 0 years of related work experience.At least 7 years of experience as a cloud solutions architect or equivalent in the area of data solutions designing cloud-based data architectures data modeling data warehousing / data lake solutions and data migration scenarios including both hybrid and pure cloud data solutions.At least 5 years of hands on experience with any of the following Azure data services : Azure Synapse Azure SQL Database Azure Cosmos DB Azure Data Lake Azure Data Factory and Azure Databricks or relatedExperience with Azure cloud solutions : related to data acquisition transformation storage analysis and loading. This includes SQL application data as well as unstructured data (file attachments et al).Databases and operating systems : experienced in various SQL database languages (T-SQL Databricks PL / SQL MySQL). Understands the advantages and drawbacks of each and how they can be set up effectively and securely across different data platforms and environments (development and production).Data architecture : Recommend best practices on data architecture for enterprise data warehouse development. Possesses a solid understanding of the organizations data infrastructure and how different systems interact.Data security and governance : Rapidly gather and understand organizational standards policies processes roles and metrics that ensure the effective and efficient use of data / information. Skilled in data management and governance strategies with a good understanding of the risks and mitigations of each. Ensure data governance is in line with the overall organizational strategy.Communication and leadership : communicate clear technical solutions to complex data problems to both technical and non-technical audiences.Required Skills :
Scala GoLang REST AWS
Key Skills
Fund Management,Drafting,End User Support,Infrastructure,Airlines,Catia
Employment Type : Full Time
Experience : years
Vacancy : 1