Key Responsibilities:

• Design, develop, and maintain ETL processes using SSIS.
• Write and optimize complex SQL queries to support data analysis and reporting needs.
• Collaborate with data analysts and business stakeholders to understand data requirements.
• Assist in the design and implementation of data warehousing solutions.
• Integrate data from various sources into a unified data platform.
• Monitor and troubleshoot data pipeline performance and reliability.
• Implement best practices for data governance and security.
• Participate in code reviews and provide mentorship to junior team members.

Required Qualifications:

• 4-6 years of experience in data engineering or a related field.
• Strong proficiency in SQL and experience with SSIS.
• Familiarity with data warehousing concepts and data modeling.
• Experience with Azure services (Azure Data Factory, Azure Synapse Analytics) is a plus.
• Knowledge of Pyspark and big data processing is preferred.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work collaboratively in a team.

Preferred Skills:

• Experience with cloud-based data solutions.
• Familiarity with Python or other programming languages.
• Knowledge of data visualization tools (e.g., Power BI, Tableau) is a plus.