Trainee Consultant

Mastek Limited; Hinoba-an; On-site; PHP 1,592,000 - 3,183,000; Full time

Job summary

Mastek Limited is seeking a Salesforce Software Engineer with 7–10 years of experience to design and deploy enterprise-grade Salesforce and Data Cloud solutions. You will work across APIs, events, and data platforms, ensuring secure access and scalable integrations with GCP services.

You will collaborate with product, security, and data teams to deliver resilient architectures, while applying modern data engineering practices and CI/CD improvements.

Qualifications

• 7+ years of software development experience in enterprise environments.
• 5+ years designing, developing, and configuring Salesforce components and integrations.
• Hands-on with Salesforce Data Cloud, IAM/security, and data integration patterns.
• Experience with GCP data services and modern data engineering practices.

Responsibilities

• Develop and implement Salesforce declarative solutions, customizations, applications and integrations.
• Architect scalable Salesforce and Data Cloud solutions translating business requirements into designs.
• Design data integrations across Salesforce, Data Cloud, GCP and enterprise platforms.
• Define IAM, authentication, and authorization patterns governing security and access.
• Implement data protection, encryption, tokenization, and data masking.
• Design and integrate GCP data solutions using BigQuery, Pub/Sub, Dataflow, Dataproc.
• Apply ETL/ELT best practices, data modeling, quality, governance and cost optimization.
• Perform code and architecture reviews, promote CI/CD and engineering standards.
• Collaborate with Product, Security, Architecture and Data teams to drive solutions.
• Evaluate emerging Salesforce/Data Cloud capabilities for enterprise adoption.

Skills

Software development experience

Enterprise solution design

Salesforce architecture

Apex, LWC, SOQL/SOSL, JSON

Platform Events, Change Data Capture

Data Cloud, GCP data engineering

API-based / event-driven integration

Java / Python / SQL

CI/CD and testing

Education

BS in Computer Science or related field

Tools

BigQuery

Bigtable

Cloud Storage

Pub/Sub

Dataflow Apache Beam

Dataproc

Python/Java

Job description

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Job Title

Salesforce Software Engineer

Expected Work Experience

7 to 10 Years

Job Location

India

Job Summary

• Develop and implement Salesforce declarative solutions, customizations, applications, extensions, and integrations that support multiple enterprise platforms and products.
• Architect scalable Salesforce and Data Cloud solutions, translating complex business and data requirements into secure, resilient technical designs.
• Design advanced data integrations across Salesforce, Data Cloud, GCP, and enterprise platforms using APIs, Change Data Capture (CDC), Platform Events, batch, streaming, and event-driven integration patterns.
• Design and implement Salesforce Data Cloud capabilities, including data ingestion, DLOs/DMOs, Identity Resolution and Identity Graphs, unified customer profiles, segmentation, calculated insights, and data activation.
• Define secure Identity and Access Management (IAM), authentication, and authorization patterns using OAuth 2.0/OIDC, SAML, SSO, Connected Apps, Named Credentials, certificates, roles, Permission Sets, and least-privilege principles.
• Implement enterprise data protection patterns including encryption at rest/in transit, Salesforce Shield Platform Encryption, BYOK, key management, tokenization, and data masking.
• Design and integrate scalable GCP data solutions leveraging BigQuery, Bigtable, Cloud Storage, Pub/Sub, Dataflow/Apache Beam, Dataproc, and related data services.
• Apply modern data engineering practices across ETL/ELT, batch and streaming pipelines, data modeling, data quality, lineage, governance, observability, performance, and cost optimization.
• Perform code and architecture reviews, pair programming, and continuous refactoring while improving engineering standards, reusable components, automation, and CI/CD practices.
• Collaborate with Product, Engineering, Architecture, Security, and Data teams throughout the solution lifecycle; facilitate technical discussions, evaluate alternative approaches, and drive issues to resolution.
• Evaluate emerging Salesforce, Data Cloud, GCP, AI/ML, and Generative AI capabilities and identify opportunities for responsible enterprise adoption.
• Promote inner sourcing, knowledge sharing, engineering best practices, and continuous improvement across teams.

Qualifications

• 7+ years of software development experience, with strong foundations in software engineering, architecture, object-oriented programming, and enterprise solution design.
• 5+ years of hands-on experience architecting, designing, developing, and configuring Salesforce, with deep understanding of platform capabilities, limitations, security, scalability, and governor limits.
• 5+ years of experience with Salesforce technologies including Apex, LWC, SOQL/SOSL, sObjects, triggers, controllers, REST/SOAP APIs, Bulk APIs, Platform Events, Change Data Capture, and JSON.
• Experience with Salesforce Data Cloud, including data ingestion and modeling, DLOs/DMOs, Identity Resolution, Identity Graphs, unified profiles, segmentation, calculated insights, and activation.
• Strong knowledge of enterprise IAM, authentication, authorization, and data security concepts including OAuth 2.0/OIDC, SAML, SSO, RBAC, Salesforce security controls, encryption, BYOK, key management, tokenization, and data masking.
• Experience with GCP data engineering technologies including BigQuery, Bigtable, Cloud Storage, Pub/Sub, Dataflow/Apache Beam, Dataproc, and SQL, Python and/or Java.
• Strong understanding of data engineering and distributed data architectures, including ETL/ELT, batch/stream processing, data modeling, data quality, metadata, lineage, governance, resiliency, and observability.
• Experience integrating Salesforce and cloud/data platforms through scalable API-based and event-driven architectures, with understanding of performance, API limits, idempotency, error handling, and data consistency.
• 3+ years of experience with additional software engineering technologies such as Java, .NET, SOA, web services, databases, or other object-oriented development technologies.
• Experience with source control, automated testing, CI/CD, deployment automation, monitoring, and production support across Salesforce and cloud environments.
• Ability to analyze complex business requirements, architect and estimate solutions at various scales, communicate technical trade-offs, and collaborate effectively with diverse technical and non-technical partners.
• BS in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.