Job Summary:
Anicca Data Science Solutions is seeking an experienced Data Professional to support their Azure-based data platform and analytics initiatives. The role involves designing and maintaining data pipelines, performing data analysis, and developing reporting solutions using Microsoft Azure technologies.
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.
Qualifications:
Required:
• 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.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.
Preferred:
• Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery.
Company:
Anicca Data is a conglomeration of the Data Science & Technology leaders and subject matter experts with hands-on experience in Personalization, Recommendation Engines, Product Search Relevancy-Ranking Algorithms, Loyalty Programs. Founded in 2017, the company is headquartered in Bellevue, USA, with a team of 11-50 employees. The company is currently Early Stage.