🏢 SLB
Early Careers - Digital Technology
💼 Fulltime
📍 India, Multi-Location
🔗 Explore More
🛠 Skills Required
Python
Java
C++
SQL
NoSQL
Cloud (AWS/GCP/Azure)
Docker
Kubernetes
Machine Learning
Data Analytics
REST APIs
Git
Problem Solving
Communication
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🎤 Interview Experience
SLB's interview process typically starts with a timed online aptitude and coding test, followed by a technical interview that probes data structures, algorithms, and domain knowledge. The final HR round focuses on cultural fit, communication skills, and career aspirations. Candidates should practice problem‑solving under time pressure and be ready to discuss projects and motivations.
🏢 Work Culture
SLB promotes a collaborative and inclusive work culture where engineers are encouraged to experiment and innovate. Employees benefit from structured learning paths, global mobility options, and a balanced approach to work‑life integration. The company’s emphasis on safety, sustainability, and continuous improvement creates a rewarding environment for fresh talent.
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📚 Free Study Materials (4)
Aptitude Practice Questions
Comprehensive aptitude questions to sharpen quantitative and logical reasoning skills required for SLB's online assessment.
Open Resource ↗
Company Interview Preparation Guide
Curated interview experiences and tips that help candidates understand the type of technical and HR questions asked at SLB.
Open Resource ↗
Comprehensive Interview Prep Resources
A collection of coding problems, mock interviews, and interview strategies useful for SLB's technical rounds.
Open Resource ↗
Algorithm Practice Problems
Extensive problem set to practice data structures and algorithms, essential for cracking SLB's coding assessment.
Open Resource ↗
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✅ Eligibility Criteria
B.Tech/B.E. or M.Tech in Computer Science, Information Technology, Electronics, Electrical, Mechanical, or related engineering streams. Minimum CGPA/percentage 6.5/70% in the final year. Graduation batch 2024‑2026. No active backlogs at the time of joining. Candidates must have strong analytical skills, programming proficiency, and a passion for emerging technologies.
🏆 Selection Process
Round 1: Online Aptitude & Coding Assessment → Round 2: Technical Interview (coding, system design, domain knowledge) → Round 3: HR Interview (fitment, motivations, compensation)
🎯
Don't miss this opportunity!
Apply before 05 Sep 2026 — only 11 days left
✅ Apply on Official Website →Creator Pick · Promoted by Creator
📋 About the Role
Schlumberger (SLB) is a global leader in oilfield services and technology, with a legacy of more than 90 technology centres spread across the world. In India, SLB has built a strong presence in engineering, research, and digital transformation, helping the energy sector adopt data‑driven solutions. The company’s Digital Technology & Research division focuses on harnessing cloud elasticity, high‑performance computing, IIoT connectivity, and advanced analytics to solve some of the toughest challenges in exploration, production, and sustainability. With a culture that encourages curiosity, collaboration, and continuous learning, SLB invests heavily in up‑skilling its workforce through structured training programmes, mentorship, and exposure to cutting‑edge tools.
The Early Careers – Digital Technology programme is designed for fresh engineering graduates who are passionate about software, data, and emerging technologies. Candidates will be placed in one of the many specialised roles such as Artificial Intelligence Engineer, Data Scientist, Full‑Stack Engineer, IIoT Engineer, High‑Performance Computing Engineer, or UX Designer, among others. The role offers a blend of hands‑on project work, cross‑functional collaboration, and mentorship from senior technologists. As a junior member, you will contribute to building scalable data pipelines, developing AI models, designing user‑centric interfaces, or implementing secure cloud‑native services that power SLU’s global operations.
Key Responsibilities:
1. Design, develop, and test software components for digital platforms.
2. Build and optimise data ingestion pipelines and ETL workflows.
3. Implement machine‑learning models and evaluate their performance.
4. Collaborate with domain experts to translate business problems into technical solutions.
5. Participate in code reviews, testing, and continuous integration/continuous deployment (CI/CD) processes.
6. Ensure security best practices and compliance in all deliverables.
7. Contribute to documentation, knowledge‑sharing sessions, and technical blogs.
8. Stay updated with emerging technologies such as cloud services, edge computing, and AI frameworks.
9. Assist in performance tuning of high‑throughput applications.
10. Support the QA team in automating test suites and validating releases.
Tech Stack: Python, Java, C++, SQL/NoSQL databases, AWS/GCP/Azure, Docker/Kubernetes, TensorFlow/PyTorch, React/Angular, RESTful APIs, Git, Jenkins.
Growth Path: Graduates start as Associate Engineers and can progress to Senior Engineer, Lead Engineer, and eventually Principal Engineer or Technology Manager within 5‑7 years, depending on performance and skill acquisition. The programme also offers rotational opportunities across SLB’s global centres, enabling exposure to diverse domains and cultures.
Why Join SLB? You will work on real‑world problems that impact the energy ecosystem, gain access to world‑class mentors, and be part of a company that values innovation, sustainability, and employee development. The blend of cutting‑edge technology, global reach, and a supportive learning environment makes SLB an ideal launchpad for a thriving digital career.
🎯
Don't miss this opportunity!
Apply before 05 Sep 2026 — only 11 days left
✅ Apply on Official Website →Creator Pick · Promoted by Creator
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📋 Quick Info
JOB ID
C2320-J072
POSTED
20h ago
TYPE
Fulltime
BATCH
All Batches
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