Sr Data Scientist I

Job highlights

• Solid understanding of solution and application architecture,including web,cloud-native,and microservices. Strong understanding of data architecture: data lake / lakehouse/warehouse design,data modelling,data governance,data quality,and metadata management. Data engineering experience: data pipelines,data modelling,ETL / ELT,SQL / NoSQL.

Technical Skills

• 9+ Years of experience in Software Development
• Strong hands-on development background in languages such as C#/. NET, Python, and JavaScript
• Solid understanding of solution and application architecture, including web, cloud-native, and microservices
• Strong understanding of data architecture: data lake/lakehouse/warehouse design, data modelling, data governance, data quality, and metadata management
• Data engineering experience: data pipelines, data modelling, ETL/ELT, SQL/NoSQL
• Experience with cloud platforms (Azure preferred)
• Working knowledge of DevOps, CI/CD, and agile delivery
• Preferred: ML fundamentals, model training, and model deployment
• Plus: Databricks and Azure Data Engineering (ADF, Synapse, Data Lake)
• Strong stakeholder management with regional, sales, and customer teams
• Can explain complex technical ideas in simple business terms
• Structured problem-solving and sound decision-making
• Adaptable and comfortable working across different kinds of assignments
• Confident presenter with a consultative, solution-focused approach

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