Data Science Specialist

Anicca Data Science Solutions

  • Bellevue, Washington
  • 30+ days ago

    Highlights

    Our team consists of data scientists, data engineers, software developers, data architects, and user-experience experts from diverse backgrounds like Computer Science, Physics, and Mathematics. Anicca is a group of talented, dedicated folks who crave to find patterns, analyze the sentiments, deep dive for insightful influencers with solo motto of building transformational systems.

    Numbers & Facts

    LocationBellevue, Washington
    Websitewww.aniccadata.com

    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.
    Compensation: $87,000.00 - $101,000.00 per year




    Similar Jobs