- Build and end to end data strategy from collecting the requirements from business to modelling the data and building reports and dashboards.

Required Skills :

- Experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure Synapse / Microsoft Fabric / Azure Databricks.

- Accountable for the data groups activities including architecting, developing, and maintaining a centralized data platform including our operational data, data warehouse, data lake, Data factory pipelines, and data related services.

- Experience in designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc.

- Strong understanding of data architecture, data modelling, and ETL processes.

- Proficiency in SQL and Pyspark.

- Strong knowledge of building PowerBI reports and dashboards.

- Excellent communication skills.

- Strong problem-solving and analytical skills.

Required Technical/ Functional Competencies :

Domain/ Industry Knowledge :

- Basic knowledge of customer's business processes relevant technology platform or product.

- Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering And Analysis :

- Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.

- Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.

Product/ Technology Knowledge :

- Working knowledge of technology product/platform standards and specifications.

- Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.

- Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture Tools And Frameworks :

- Working knowledge of architecture Industry tools & frameworks.

- Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.

Architecture Concepts And Principles :

- Working knowledge of architectural elements, SDLC, methodologies.

- Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.

Analytics Solution Design :

- Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.

- Able to identify the cause of errors and their potential solutions.

Tools & Platform Knowledge :

- Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Required Behavioral Competencies :

Accountability :

- Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration :

- Shares information within team, participates in team activities, asks questions to understand other points of view.

Agility :

- Demonstrates readiness for change, asking questions and determining how changes could impact own work.

Customer Focus :

- Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.

Communication :

- Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results :

- Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.