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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time