Responsibility of / Expectations from the Role: -

• Develop Data models and patterns for Data Platform Solutions.
• Conceptualize and solution a centralized data lake solution to bring data from disparate sources.
• Implement security on DL Solution.
• Present agreed solutions to business to get buy-in on the strategy and roadmap.

Technical: -

• Minimum 10 years IT experience, with at least 5+ years’ experience in Data intensive activities (Data Modeling, ER Diagram, ETL, Data mapping, Data Governance and security)·
• Experience in End-to-End implementation of large Data Lake or Data Warehouse solution· Experience in Azure data lake and unity catalog.
• Strong knowledge on Data Governance.
• Hands on experience with ETL tools (ADF) and Spark Pools.
• Strong knowledge and experience in data modeling · Strong knowledge on Data Security / Encryption/Monitoring.
• Knowledge on DevOps.
• Analytical and problem-solving skills with a high degree of initiative and flexibility to be available over extended hours.
• Ability to communicate with Business SME.
• Understanding of Design Patterns – Data Models.
• Experienced with Onsite – Offshore Delivery Model.
• Technical background ideally within Managed Services and IT outsourcing industry.
• Certification on Data Platform Solutions.

Behavioral: -

• Creating a detailed requirement analysis and provide solution.
• Strong Analytical thinking and problem-solving skills.
• Strong communication, presentation and writing skills.
• Be proactive and have a can-do attitude.

Good-to-Have: -

• Experience on Cloud Tool & Technology viz. ADO, ServiceNow, Azure Monitoring, Performance Management, Analytics etc.
• Understanding of Agile Process.
• Maintains a broad and current knowledge of the industry on Cloud Platform.