ETL Data Engineer

• Design, develop, and maintain scalable data pipelines and ETL processes using SSIS, SQL, Azure Data Factory, and DataBricks.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver robust data solutions.
• Develop and optimize complex SQL queries, stored procedures, and data models.
• Implement data ingestion, transformation, and orchestration workflows.
• Develop and maintain data integrations and workflows using C#, .NET, and Python.
• Ensure data quality, security, and compliance across all data platforms.
• Monitor and troubleshoot data pipelines to ensure high availability and performance.
• Stay updated with industry best practices and emerging technologies to improve data engineering processes.

Skills required: SSIS, C#, SQL, Python, Data Factory, Data Bricks, .NET

Candidate must show the DL copy on video at the time of submission, * Proven experience as a Data Engineer with strong expertise in SSIS, SQL, Data Factory, and DataBricks.

• Hands-on experience in C#, .NET, and Python for data solution development.
• Solid understanding of data warehousing concepts and architecture.
• Experience with cloud-based data platforms, preferably Azure.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Bachelor's degree in Computer Science, Information Technology, or related field; Master's preferred.

Preferred Skills:

• Experience with other big data technologies and frameworks.
• Knowledge of data governance and security best practices.
• Familiarity with CI/CD pipelines and automation tools.