REQUIRED SKILLS:

• Advanced SQL & Azure Data Factory : Stored procedures, schema management, performance optimization.
• ETL expertise : Data extraction, transformation, and loading.
• Data integration : Designing resilient processes with strong failure response planning.
• Experience with multiple data sources : Databases, CRM systems, web services, etc.

PREFERRED SKILLS:

• Experience in large-scale data management and process automation .
• Knowledge of C++ and Python .
• Familiarity with Agile methodologies (Scrum, Kanban, ADO) .
• Strong communication skills .
  This role is ideal for a self-motivated individual who thrives on problem-solving and innovation in data integration and application support.
  

  LI-AU1

KEY RESPONSIBILITIES:

• Develop and support data integrations using SQL (Oracle, Microsoft SQL), SSIS, Azure Data Factory, and Data Bricks .
• Improve ETL processes and troubleshoot data quality issues.
• Extract, transform, and load (ETL) data from various sources into databases, data warehouses, or lakes.
• Implement system health monitoring solutions using Spotfire, Power BI, etc.