Mastek
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Bengaluru · On-site · 5-8 Yrs · Sep 28
Information Technology Support Services · 1001 to 5000 Employees · Mumbai, India
Mastek is an enterprise digital and cloud transformation partner that engineers excellence for customers in industries such as healthcare and life sciences, retail and consumer, manufacturing, financial services, and the public sector, across 40 countries, including the UK, US, Europe, the Middle East, and Asia Pacific. Mastek helps enterprises decomplexify digital and delivers business outcomes with trust, value, and velocity across the spectrum of services including digital experience and engineering, cloud implementations, data, automation and AI, and cloud managed services. Mastek recently launched its GenAI enabled portfolio iConniX that offers over 120 AI assets, 4 AI platforms, and solution blueprints tailored to meet industry specific business use cases. A preferred Oracle, Salesforce, Microsoft, AWS, and Snowflake partner, Mastek has 6000+ employees and delivers right-fit solutions to both medium businesses and global Fortune 1000 clients.
Hiring: Engineering
What employees say
+ Good reputation, skilled workforce, Focus on sectors like healthcare, government, and financial services
− Limited scale, intense competition, fluctuating demand
More reviews on the company profile.
Interview experience · Graduate Trainee
i applied through university campus , first round is application screening then second round online assessement qns aptitude, dsa 2 qns then shortlisted student got technical round sql qns and basics dsa then hr round
Average difficulty · India · 216 reports
More interview insightsJob description
Overview
Expected Work Experience 5 to 7 Years
Responsibilities
- Build and operate data pipelines in cloud environments (GCP preferred) with integration into Salesforce Data Cloud.
- Migrate and modernize legacy workflows to cloud-native solutions (e.g., Dataflow, Pub/Sub).
- Design and implement distributed data processing systems using technologies such as Spark and the Hadoop ecosystem.
- Develop and maintain integrations between Salesforce and external systems using APIs and event-driven patterns.
- Collaborate with Salesforce teams on data modeling, ingestion, and synchronization strategies.
- Apply working knowledge of Salesforce platform fundamentals (data model, security, APIs) in solution design.
- Develop backend services using Java and Spring Boot to support data and integration use cases.
- Ensure observability, reliability, and performance tuning of data systems and pipelines.
- Use containerization technologies such as Docker and Kubernetes and CI/CD practices for efficient deployments.
- Implement data engineering best practices to support Data Automation & AI and analytics use cases.
- Work closely with BI and analytics stakeholders to ensure data pipelines and models effectively support reporting and insight generation.
- Contribute to the modernization of data workflows to leverage GCP, Salesforce Data Cloud, and DataBricks where applicable.
- Maintain clear documentation for data flows, integrations, and operational procedures to support ongoing maintenance and knowledge sharing.
- Ability to design reliable, scalable data pipelines operating seamlessly across GCP and Salesforce Data Cloud.
- Capability to drive smooth migration of legacy systems with minimal disruption to downstream consumers.
- Strong focus on well-integrated data flows between Salesforce and external systems with clear ownership and observability.
- Commitment to improved operational efficiency through robust design, monitoring, and engineering best practices.
- Collaborative mindset to work effectively with Salesforce, data, and BI teams.
- Problem-solving skills to troubleshoot complex data integration and performance issues in distributed environments.
Qualifications
- 5 to 7 Years
- Job Location
- Job Summary
- Proven experience (5 to 7 years) as a Data Engineer or BI Developer in data analytics and data engineering environments.
- Strong hands-on experience with cloud platforms, preferably GCP, including services such as Dataflow and Pub/Sub.
- Working knowledge of Salesforce Data Cloud and Salesforce platform fundamentals, including data models, security, and APIs.
- Proficiency in building and maintaining API-based and event-driven integrations between Salesforce and external systems.
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
- Exposure to DataBricks and related data analytics tooling is preferred.
- Strong understanding of data modeling, data ingestion, and synchronization strategies for analytics and BI.
- Solid grasp of observability practices, including logging, monitoring, and alerting for data pipelines and services.
- Ability to write clean, maintainable code and follow best practices in version control and collaborative development.
- Good communication skills and the ability to work in cross-functional teams across data, engineering, and business stakeholders.
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Data Engineer/BI Developer-DA&A at Mastek?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Mastek may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer/BI Developer-DA&A role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer/BI Developer-DA&A remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer/BI Developer-DA&A role at Mastek?
- This is a mid-level Data Engineer/BI Developer-DA&A role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.