Data Science Specialist

Role Summary We 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.

Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.

Working Hours - Night(IST)/PST -