Data Scientist

Data Scientist 

We are seeking a Data Scientist to support the design, development, and optimization of enterprise data solutions. This role will be responsible for building scalable data pipelines, integrating data from multiple sources, implementing data governance standards, and delivering reliable data products that support business and analytics needs.

<>Key Responsibilities:

• Design, build, and maintain batch and real-time data pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake.
• Develop and optimize ETL/ELT processes for integrating data from diverse sources into centralized data platforms.
• Implement and support lakehouse architectures following Bronze, Silver, and Gold data layers.
• Create, load, and tune dimensional data models and SQL workloads in Azure Synapse Analytics to support reporting and analytics.
• Orchestrate and monitor data workflows using Azure Data Factory, Databricks Workflows, and Synapse pipelines.
• Collaborate with data architects, analysts, data scientists, project managers, and business stakeholders to translate requirements into technical solutions.
• Apply data governance, security, and compliance controls, including role-based access, data masking, and sensitive data protection standards.
• Support data quality initiatives, data stewardship practices, and enterprise data integration strategies.
• Participate in requirements gathering, solution reviews, technical documentation, and knowledge-sharing activities.
• Troubleshoot, optimize, and maintain data platform performance while ensuring reliability and scalability.
• Provide technical guidance, support, and training to project teams and stakeholders.
• Contribute to process improvements, operational support, and development of data engineering standards and best practices.

<>Required Skills:

• Strong experience with Azure Databricks, PySpark, Spark SQL, and Delta Lake.
• Hands-on experience with Azure Synapse Analytics and Azure Data Factory.
• Expertise in ETL/ELT development, data integration, and data pipeline design.
• Strong SQL and dimensional data modeling experience.
• Knowledge of data governance, security, and compliance frameworks.
• Experience working in cloud-based data platforms and modern data warehouse environments.
• Excellent communication and collaboration skills with both technical and non-technical stakeholders.