Salesforce Data Engineer

About the role

We are seeking a highly skilled Salesforce Data Engineer responsible for designing, building, and optimizing scalable data pipelines and data integration solutions across the Salesforce ecosystem and external platforms. This role focuses on enabling reliable data movement, analytics, and AI-driven capabilities while ensuring governance, security, and performance.

What you'll do

• Design, build, and modernize scalable, high-performance ETL/ELT pipelines and data integration solutions across cloud and enterprise platforms
• Translate complex business requirements into optimized, scalable data transformation, integration, and data flow architectures
• Develop and maintain robust integrations between Salesforce and enterprise systems, ensuring reliable and secure data exchange
• Lead the migration of legacy Informatica workflows to Azure Data Factory (ADF) and cloud-native architectures, applying modern design patterns and best practices
• Develop and optimize advanced SQL transformations across Oracle, Snowflake, and MySQL, ensuring performance, scalability, and cost efficiency

What you need

• 5–9 years in software engineering
• Salesforce
• SQL
• Python
• ETL
• Informatica
• Snowflake
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Databricks
• Azure Data Factory
• Data warehousing
• Root cause analysis
• Data modelling
• Azure