Senior Engineer, Systems Engineering
On-sitePune, Maharashtra, India
Pune, Maharashtra, IndiaOn-siteFull TimeSenior LevelBachelors DegreeLarge
Full TimeSenior LevelBachelors DegreeLarge
Job Summary
Design and maintain CRM Analytics dashboards, lenses, datasets, and dataflows to transform complex business data into actionable insights for Sales, Service, Marketing, and Operations. Develop and optimize Salesforce Reports, build custom Apex, Lightning Web Components, and Flows, and integrate external data sources using APIs and ETL pipelines. Implement Einstein Discovery models for AI-powered predictions and ensure compliance with data governance and security standards. Collaborate with stakeholders on Agile ceremonies, conduct code reviews, and optimize dashboard performance and data refresh schedules.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field (or equivalent work experience)
- 5+ years of hands-on Salesforce development experience
- 3+ years of experience with Salesforce CRM Analytics (Tableau CRM / Einstein Analytics), including dashboard design, dataflow development, and SAQL
- Proficiency in Apex, Lightning Web Components (LWC), SOQL/SOSL, and Salesforce Flow
- Strong experience with Salesforce Reports and Dashboards, including dynamic dashboards and cross-object reporting
- Hands-on experience with SAQL for custom data queries within CRM Analytics
- Familiarity with Salesforce Data Cloud or customer data platform (CDP) concepts
- Experience integrating Salesforce with external data sources using REST/SOAP APIs, Salesforce Connect, or third-party ETL tools
- Solid understanding of Salesforce data model, security model, and governor limits
- Experience with Salesforce DX (SFDX), Git, and CI/CD deployment pipelines
- Active Salesforce Certified Platform Developer I certification
- Bachelor's degree in computer science, software engineering, computer engineering, information systems, or a related field, or equivalent experience
- 4+ years of experience in software engineering, systems engineering, application development, platform engineering, or a related field
- Knowledge of software and systems engineering principles, development lifecycle practices, testing strategies, and production support models
- Knowledge of system architecture, application design, integration patterns, debugging techniques, version control, and deployment approaches
- Knowledge of performance engineering, reliability, scalability, secure design, and operational resilience concepts
- Skill in coding, configuration, technical design, troubleshooting, root cause analysis, and structured problem solving
- Skill in using development frameworks, testing tools, source control platforms, CI/CD pipelines, collaboration tools, and work management systems
- Ability to lead moderately complex to complex engineering work independently while applying sound judgment, quality standards, and risk awareness
- Ability to collaborate effectively with technical and non-technical stakeholders and communicate solution options, dependencies, risks, and progress clearly
- Knowledge of advanced software and systems engineering principles, development lifecycle practices, testing strategies, and production support models
- Knowledge of application architecture, system design, integration patterns, cloud and infrastructure components, and secure engineering practices
- Knowledge of performance engineering, scalability, reliability, resilience, observability, and operational support frameworks
- Skill in technical design, coding or configuration, debugging, root cause analysis, performance tuning, and structured problem solving
- Skill in using development frameworks, testing tools, source control platforms, CI/CD pipelines, observability tools, collaboration platforms, and work management systems
- Ability to lead complex engineering work independently while applying strong technical judgment, quality standards, and risk awareness
- Ability to influence technical direction, guide design decisions, and collaborate effectively with technical and non-technical stakeholders
- Ability to mentor less experienced engineers and drive adoption of engineering best practices, documentation standards, and continuous improvement methods
Desired Qualifications
- AWS Certified Cloud Practitioner (CLF-C02), AZ-900: Azure Fundamentals, RHCSA (Red Hat Certified System Administrator) certification, or equivalent
- Knowledge of data warehousing concepts, dimensional modeling, and ETL/ELT best practices
- Understanding of data governance frameworks, data quality management, and metadata management
- Experience in the healthcare, pharmaceutical, or life sciences industry
- Strong data storytelling skills with the ability to present complex analytical findings to non-technical business stakeholders
- Salesforce Certified CRM Analytics and Einstein Discovery Consultant certification
- Salesforce Certified Platform Developer II certification
- Salesforce Data Cloud Consultant certification
- Experience with Einstein Discovery for AI-powered predictive analytics and model storytelling
- Proficiency with Tableau (desktop or server) for supplemental enterprise reporting and visualization
- Experience with cloud data platforms such as Snowflake, Azure Synapse, Google BigQuery, or AWS Redshift and their integration with Salesforce
- Familiarity with Python, SQL, or R for data preprocessing, transformation, or advanced analytics use cases
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