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Salesforce Off Campus Drive 2025 | Software Engineering LMTS - Big Data Engineer | Hyderabad & Bangalore | Placement Officer
Summary
Salesforce, the global leader in CRM and cloud
computing, has announced an Off Campus Drive for the 2025 batch for
the prestigious role of Software Engineering LMTS (Lead Member of
Technical Staff) - Big Data Engineer. This is a exceptional opportunity for
top-tier engineering talent to work on a petabyte-scale data platform using
cutting-edge technologies.
·
Role: Software
Engineering LMTS - Big Data Engineer
·
Job ID: JR280210
·
Eligibility: 2025
batch graduates with strong software engineering fundamentals.
·
Job Location: Hyderabad,
Telangana and Bangalore, Karnataka (Pan India
opportunities)
·
Key Technologies: Spark,
Trino, Airflow, AWS, GCP, Kubernetes, Iceberg, DBT
·
Posted On: September
10, 2025
This role is part of the Unified
Intelligence Platform (UIP) team, which is building the next-generation data
platform that powers intelligence and AI across Salesforce.
Detailed Job Description: LMTS - Big Data Engineer
This is a senior individual contributor
role (LMTS) where you will be responsible for architecting and building
mission-critical data services that process massive amounts of data across
multiple cloud environments.
Job Title: Software Engineering LMTS - Big
Data Engineer
Company: Salesforce
Job ID: JR280210
Job Category: Software Engineering
Job Type: Full Time
Locations: Hyderabad, India & Bangalore, India
Team: Unified Intelligence Platform (UIP)
About the Team - Unified Intelligence Platform (UIP):
The mission of UIP is to enable
Salesforce teams to deeply understand and optimize their services and
operations through data. UIP is a modern, trusted, turn-key data platform built
with cutting-edge technologies:
·
Data Lake Engines: Spark,
Trino
·
Orchestration: Airflow
·
Transformation: DBT,
Jupyter Notebooks, Sagemaker
·
Table Formats: Iceberg
·
Metadata: Open
Metadata
·
Cloud Platforms: AWS,
GCP (Multi-cloud)
·
Containerization: Kubernetes
Who are we looking for? (Ideal Candidate Profile)
Salesforce is looking for candidates who
are:
·
Passionate about
solving big data challenges in distributed systems.
·
Highly
collaborative, with a strong focus on customer success.
·
Able to drive
end-to-end projects delivering high-performance, scalable solutions.
·
Adaptable and
versatile, capable of taking on roles as a Platform Engineer, Data Engineer,
Backend Engineer, or DevOps Engineer as needed.
·
Possess a strong
foundation in software engineering, with flexibility to work in any programming
language.
·
Committed to
engineering excellence and quality.
·
Open communicators
with a growth mindset.
Key Job Responsibilities:
The selected candidate will be
responsible for:
·
End-to-End Ownership: Lead
the architecture, design, development, and support of mission-critical data and
platform services.
·
Data Pipeline Development: Drive
multiple self-service, metadata-driven data pipelines for ingesting diverse
data sources into a multi-cloud, petabyte-scale data platform.
·
Solution Architecture: Architect
robust data solutions that enhance ingestion, processing, quality, and
discovery with built-in security and governance.
·
Service Ownership: Design
solutions with extensive telemetry and control mechanisms for streamlined
governance and operational management.
·
Framework Development: Develop
data frameworks to simplify recurring data tasks and ensure best practices.
·
Data Quality: Implement
advanced data quality services for continuous monitoring of data standards.
·
Application Development: Build
Salesforce-integrated applications to manage the full data lifecycle.
·
CI/CD Implementation: Establish
and refine CI/CD processes for seamless deployment across cloud environments.
·
Technology Stack Management: Oversee
key components including Airflow, Spark, Trino, Iceberg, and Kubernetes.
·
Vendor Collaboration: Collaborate
with third-party vendors to troubleshoot and resolve platform issues.
·
Multi-Cloud Optimization: Architect
data pipelines optimized for AWS, GCP, and other cloud environments.
Eligibility Criteria
·
Educational Qualification: Bachelor's
or Master's degree in Computer Science or related field (2025 batch).
·
Technical Skills: Strong
foundation in software engineering with proficiency in multiple programming
languages.
·
Experience: While
this is an entry-level LMTS position, demonstrated experience through
projects/internships in big data technologies is essential.
Required Technical Skills
·
Big Data Technologies: Apache
Spark, Trino, Apache Airflow, Apache Iceberg
·
Cloud Platforms: AWS
(Amazon Web Services), GCP (Google Cloud Platform)
·
Containerization: Kubernetes and
container orchestration
·
Data Engineering: Experience
with data pipelines, ETL/ELT processes, data quality frameworks
·
Programming Languages: Proficiency
in Java, Scala, Python, or similar languages
·
DevOps Tools: CI/CD
pipelines, infrastructure as code, monitoring tools
·
Data Governance: Understanding
of data security, governance, and metadata management
Why Join Salesforce?
·
Industry Leadership: Work
for the #1 CRM platform and a cloud computing pioneer.
·
Cutting-Edge Technology: Work
with the latest big data and cloud technologies at petabyte scale.
·
Career Growth: LMTS
is a prestigious technical track role with excellent growth opportunities.
·
Global Impact: Your
work will impact thousands of Salesforce customers and millions of users.
·
Excellent Compensation: Salesforce
offers competitive salaries and comprehensive benefits.
·
Inclusive Culture: Salesforce
is renowned for its Ohana culture and commitment to equality.
How to Apply
1. Visit Salesforce Careers: Go to the
official Salesforce careers website.
2. Search for Job ID: Use JR280210 to
find the specific posting.
3. Review Requirements: Carefully read
the job description and requirements.
4. Create Profile: Set up your candidate profile on
the Salesforce careers portal.
5. Complete Application: Fill in all
required details accurately.
6. Upload Documents: Submit your resume, cover letter,
and any other required documents.
7. Submit Application: Apply before
the deadline (if specified).
Pro Tips to Apply and Get Selected
1. Highlight Big Data Experience: Showcase
projects involving Spark, Airflow, or other big data technologies. Quantify the
scale of data you've worked with.
2. Demonstrate Cloud Expertise: Highlight
any experience with AWS, GCP, or other cloud platforms. Certifications are a
plus.
3. Show Versatility: Emphasize your ability to work
across different roles (data engineering, platform engineering, DevOps).
4. Prepare for System Design Interviews: Expect
questions about designing scalable data systems and pipelines.
5. Practice Coding: Be prepared for coding interviews
in Java, Scala, or Python.
6. Research Salesforce: Understand
Salesforce's products and how data engineering supports them.
7. Showcase Leadership: Even for
individual contributor roles, highlight any leadership experiences.
Frequently Asked Questions (FAQs)
Q1: What does LMTS stand for?
A: LMTS stands for Lead Member of Technical Staff. It's a senior
individual contributor role at Salesforce.
Q2: Is this role specific to 2025 batch graduates?
A: Yes, this off-campus drive is specifically targeting 2025 batch
graduates.
Q3: What is the compensation package for this role?
A: While exact figures aren't disclosed, Salesforce offers
competitive compensation including base salary, bonuses, stock options, and
comprehensive benefits.
Q4: What is the selection process?
A: The process typically includes: Application screening → Online assessment → Technical
interviews → System design interview → Hiring manager
interview → HR discussion.
Q5: Are remote work options available?
A: The job listing specifies Hyderabad and Bangalore locations,
suggesting on-site or hybrid work arrangements.
Conclusion
The Salesforce LMTS - Big Data
Engineer role represents an exceptional opportunity for 2025 graduates
to start their career at the intersection of big data and cloud computing with
an industry leader. This position offers the chance to work on cutting-edge
technologies at massive scale while contributing to Salesforce's mission of
delivering intelligent, data-driven solutions.
If you have strong software engineering fundamentals and passion for big data technologies, this role offers unparalleled learning and growth opportunities. Prepare thoroughly, showcase your skills, and take the first step toward an exciting career with Salesforce.
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Disclaimer
The recruitment details shared above are for
informational purposes only and have been obtained from the organization’s
official website. We do not guarantee any job placements. Recruitment will be
conducted according to the company's official process. We do not charge any
fees for sharing this job information.
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