Data Science Specialist

Role SummaryWe are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.Key Responsibilities Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks. Ingest, transform, and validate data from multiple business systems, APIs, databases, and files. Develop and maintain data models, source-to-target mappings, business rules, and data quality checks. Perform data profiling, reconciliation, gap analysis, and root-cause analysis. Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis. Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets. Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed. Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off. Ensure data security, governance, RBAC, access control, and performance best practices.Required Skills 5+ years of experience in data engineering, data analytics, BI, or data science. Strong hands-on experience with Azure data services. Strong skills in SQL, Python, PySpark, Power BI, and data modeling. Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte. Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions. Experience with data validation, documentation, UAT support, and stakeholder communication. Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.