Job Description
Data Science Specialist
ANICCA DATA SCIENCE SOLUTIONS LLC - 5.0
Bellevue, WA Job Details Full-time $87,000 - $101,000 a year 23 hours ago Qualifications Data integrity assurance Data model design Commercial use (data warehousing systems) Cloud analytics services Data visualization software proficiency Data analysis reporting Requirements design Cloud data warehouses Data modeling projects Data validation techniques Technical documentation Spark Business intelligence report generation Schema design SQL Data integrity and documentation Technical solutions implementation Business intelligence tools Data quality monitoring Requirements analysis Business requirements Project stakeholder communication Python Design (software development lifecycle) Data analysis software Full Job Description 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.
