Primary Skills: Snowflake, Databricks, Data Governance

Total industry experience between 8-15 years.

Roles and Responsibilities:

· Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.

· Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.

· Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.

· Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.

· Planning and execution of big data solutions using technologies such as Hadoop. In fact, the big data architect roles and responsibilities entail the complete life-cycle management of a Hadoop Solution.

· Defining and managing the flow of data and dissemination of information within the organization.

· Integrating technical functionality, ensuring data accessibility, accuracy, and security.

· Conducting a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders.

Skills Required:

· Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques

· Proficiency in data modeling and design, including SQL development and database administration

· Working Experience in Fintech and Telecom industry is an add on

· Understanding of predictive modeling, NLP and text analysis, Machine Learning

· Ability to implement common data management and reporting technologies, as well as the basics of columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.

· Experience with cloud platforms

· Data mining, visualization, and Machine Learning skills

· Knowledge of programming languages

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