Salesforce Data Engineer

Team: IT

Location: India

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Design, build, deploy, and maintain scalable data workflows across Salesforce, Siebel CRM, Oracle ERP, SQL Server, and Azure Cloud environments.
• Conduct data profiling across revenue operations and go-to-market systems to assess data quality, consistency, completeness, and reliability.
• Engineer and enhance robust data pipelines and automated transformation processes using SQL and technologies such as Python, Hadoop, and Spark.
• Develop database scripts, triggers, functions, stored procedures, and other components required to support reliable enterprise data workflows.
• Create automated testing and validation processes that strengthen data quality, compliance, and governance.
• Partner with cross-functional teams to understand business and technical data requirements and assess how engineering decisions affect analytics and reporting.
• Collaborate with technical teams, operations, product managers, and business stakeholders to ensure successful implementation of data initiatives.
• Identify opportunities to automate data quality improvement processes and increase the efficiency, scalability, and reliability of data operations.
• Support the preparation of datasets for machine learning and AI applications and contribute to the use of AI-powered database optimization technologies.
• Promote data engineering best practices, technical standards, automation, documentation, and a culture of engineering excellence.

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Applied Mathematics, or a related technical discipline is required; a Master’s degree is preferred.
• 5+ years of progressive experience in data engineering, data integration, backend data platform development, or a related field supporting enterprise-scale data ecosystems.
• Demonstrated experience designing, building, and maintaining complex data pipelines across CRM, ERP, cloud, and other enterprise systems.
• Extensive hands-on experience with Salesforce, Siebel CRM, and Oracle ERP, including Salesforce data tools such as Data Loader, Workbench, and Inspector.
• Strong proficiency in SQL and experience with large-scale data processing technologies such as Hadoop and Spark.
• Practical experience with Python or comparable programming and data-engineering technologies.
• Experience with marketing and sales automation platforms such as Demandbase, SalesLoft, and HubSpot is highly valuable.
• Experience with BI and analytics platforms, particularly Power BI, and the ability to develop reliable datasets for reporting and analytical applications.
• Experience implementing data quality, validation, governance, and compliance frameworks across complex data environments.
• Experience preparing and optimizing datasets for machine learning and AI use cases, as well as familiarity with AI-powered database optimization tools.
• Strong understanding of data engineering best practices, enterprise integration patterns, source systems, data workflows, and backend data platforms.
• Excellent communication skills, with the ability to explain technical findings and data insights clearly to both technical and non-technical stakeholders.
• Ability to work effectively in a fast-paced and evolving environment, manage changing priorities, and consistently maintain high standards of quality.
• Cloud and data engineering certifications are preferred, including Azure Data Engineer, Azure Solutions Architect, or equivalent AWS/GCP credentials.
• Salesforce certifications in areas such as Data Architecture and Management, Platform Development, or Salesforce Administration are a plus.
• Additional certifications in analytics, databases, Power BI, SQL, Hadoop, Spark, or related technologies are advantageous.
• Ability to align working hours with UK business hours.

Benefits:

• Full-time remote position based in India.
• Opportunity to work on enterprise-scale data engineering and integration initiatives across cloud, CRM, ERP, and analytics environments.
• Professional development opportunities, including structured career and learning programs.
• Generous paid time off program.
• Volunteer Time Off opportunities supporting community and philanthropic activities.
• Competitive benefits package, including medical and dental coverage, subject to applicable eligibility requirements.
• Global Employee Assistance Program supporting employee well-being.
• Opportunities to connect and collaborate with colleagues across international teams and employee impact groups.
• Employee experience initiatives designed to foster collaboration, connection, and an inclusive workplace.
• Equal opportunity environment committed to fair employment practices and a workplace free from discrimination, harassment, and retaliation.