Required Skills: Azure Data Factory, Azure Databricks, Synapse, Cosmos DB, Power BI, Fabric, SQL Server IaaS, SQL Server PaaS, Python

Job Description

• Data Pipeline Design & Development (ETL/ELT, data integration, transformation)
  Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems"
• Microsoft Technologies (Azure Data Factory, Azure Databricks, Synapse, CosmosDB, Power BI, Fabric, SQL Server IaaS/PaaS)
  Listed explicitly under required qualifications
• Informatica Cloud (CIH, DIH, CDGC, Master Data Management, Data Quality)
  Listed explicitly under required qualifications
• Snowflake
  Listed explicitly under required qualifications
• Programming Languages: Python, SQL, C#, Java
  "Proficiency in programming languages such as C#, Python, SQL, and Java"
• Data Modelling & Data Warehousing
  "8+ years of experience including data modelling, data warehousing, analytics, business intelligence, and governance"
• Data Quality, Governance & Compliance
  "Collaborates with architects and analysts to manage data as an asset and optimize models for data quality, security, and governance" + "Implements data quality checks and validations within data pipelines"
• APIs & External System Integration
  "Integrates data from different sources, including databases, data warehouses, APIs, and external systems"
• Performance Optimization & Scalability
  "Optimizes data pipelines and workflows for performance, scalability, and efficiency" + "Monitors and tunes data systems, identifies and resolves performance bottlenecks"
• Business Intelligence & Analytics (prescriptive & predictive)
  "8+ years of experience including analytics (prescriptive, predictive), business intelligence, and data science"
• Years of Experience: 8+ years in Data Engineering
  Education: Bachelor’s degree in computer science, Data Science, Software Engineering, Information Systems, or related field