This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer with Salesforce based in India.
This role offers the opportunity to build and optimize enterprise-scale data solutions within a highly collaborative digital integration and optimization environment. You will design, maintain, and enhance critical data pipelines connecting CRM, ERP, cloud, and business systems. Your work will directly support marketing, sales, customer support, analytics, and reporting teams with reliable, high-quality data. You will combine data engineering expertise with solid Salesforce knowledge to improve data workflows, governance, and automation. The position involves close collaboration with technical teams, product managers, operations, and business stakeholders. You will also contribute to data quality initiatives and prepare datasets for advanced analytics, machine learning, and AI applications. This is an impactful opportunity to promote engineering excellence while helping create a more data-driven organization.
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Accountabilities:
Profile data across core revenue operations and go-to-market systems to assess data quality, consistency, completeness, and reliability.
Design, build, deploy, monitor, and maintain scalable data workflows across Salesforce, Siebel CRM, Oracle ERP, SQL Server, and Azure Cloud data sources.
Engineer and enhance robust data pipelines and automated transformation processes using SQL and large-scale data processing technologies such as Python, Hadoop, and Spark.
Develop and maintain database scripts, triggers, functions, and stored procedures to support enterprise data workflows.
Create automated testing and validation procedures that strengthen data quality management and compliance with data governance standards.
Collaborate with cross-functional teams to understand data requirements, stakeholder needs, and the impact of technical decisions on analytics and reporting.

📌 Data Engineer with Salesforce (India)
🏢 Jobgether
📍 India