Senior Data Engineer

Key Skills: ADF, Tableau, Snowflake, Data Warehouse, SQL

Roles & Responsibilities:

• Design, develop, and maintain scalable data pipelines across Salesforce, SQL Server, Snowflake, and Tableau.
• Customize Salesforce data models and automation workflows to align with business requirements.
• Manage data governance, data quality, and integration with external systems.
• Develop and optimize ETL processes and data workflows using Azure Data Factory (ADF).
• Create and manage Tableau dashboards with advanced calculations, data modeling, and security layers.
• Administer access controls and ensure data security and compliance standards.
• Build and optimize databases in SQL Server and Snowflake for performance and scalability.
• Write and optimize complex SQL queries for reporting and analytics.
• Monitor job performance, implement alerting mechanisms, and ensure system reliability.
• Maintain technical documentation, data standards, and security protocols.
• Collaborate with business and technical stakeholders to enhance automation and data-driven decision-making.

Experience Required:

• 3 - 8 years of experience in data engineering, data integration, or related roles.
• Strong hands-on experience with Azure Data Factory (ADF), Snowflake, and Tableau.
• Proficiency in SQL, database design, and data warehousing concepts.
• Experience integrating multiple data sources including Salesforce and SQL Server.
• Hands-on experience in ETL pipeline development and data transformation.
• Strong understanding of data governance, data quality, and security practices.
• Experience in performance tuning, monitoring, and optimization of data systems.
• Good analytical, problem-solving, and communication skills.

Education: Any Graduation