N #3034
Applications open
Full-Time Job
Software Engineer (Workday Data Mapping & Conversions)
Cerebra
About the role
Project Role : Custom Software Engineer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Workday Data Mapping & Conversions Good to have skills :
Automated Testing Experience
8 year(s) of experience is required Educational Qualification : 15 years full time education Summary: Ideal candidates will have a proven track record in supporting large-scale, complex implementations, transformations, and migrations. This role is support role. It is for turning around troubled projects requiring the ability to assess the current state, define recovery solutions, and execute recovery plans.
Hands-on problem solving to stabilize delivery performance
Roles &
Responsibilities
- : Supported recovering, stabilizing, and realigning projects facing significant delivery challenges.
- Supported delivery recovery efforts end-to-end including issue identification, impact assessment, recovery solutioning, and execution of turnaround plans.
- Experienced in delivery governance frameworks aligned with TDLC, Agile, or SAFe methodologies, ensuring strict adherence to sprint cycles, milestones, and process standards.
- PMO support for Monitoring and enhancing Delivery Experience (DEX), drove reductions in Cost of Poor Quality (COPQ), and improved delivery quality through measurable KPIs.
- Gathered metrics and prepared report for Steering Committees, weekly executive connects, and status reviews to ensure transparency, alignment, and stakeholder confidence.
- Tracked and analysed key schedule, quality & financial metrics (Ex) SPI, burn rate, forecast accuracy, margin, and budget compliance.
- Identified cost leakages and led commercial resets and Estimate at Completion (EAC) recovery initiatives.
- Tracked delivery risks and implemented preventive or corrective actions.
- Ensured compliance with internal audits, InfoSec requirements, and quality gates.
- Provided hands on to address complex technical and project-level challenges across teams.
- Drove excellence through agile methodologies, quality frameworks, and continuous improvement initiatives.
- Hand on Experience in at least one major enterprise platform SAP, Oracle, Salesforce, Workday, o9 Solutions, or other supply chain platforms.
- Experience in Agile and SI delivery principles with a focus on transformation excellence, governance, and stakeholder satisfaction.
- Manage day-to-day execution, sprint coordination, issue tracking, and team-level quality management, team coaching.
- Create MPP/MSPS plan, track schedule, cost & quality.
- Track effort variance, rework costs, and non-compliance cost impact.
- Manage RAID logs, support internal compliance, and documentation.
- Mentored technical teams, and developed reusable assets, knowledge bases, and recovery playbooks.
- Hands experience in SDLC tools across phases
- Support issue closure by working with leads, testers, and developers to remove delivery bottlenecks.
- Support day-to-day coordination with client testers, business SMEs, and platform leads for dependency resolution.
- Professional &
Technical Skills
Must
To Have Skills
- Proficiency in Workday Data Mapping & Conversions Good to have Skill: Automated Testing AMS experience Exposure to GenAI technologies.
- Support workforce planning, readiness tracking, and onboarding quality.
- Additional Information: The candidate should have minimum 7 12 years of experience in Workday Data Mapping & Conversions PMI, PRINCE2 or equivalent certification Relevant platform certifications (SAP, Oracle, Salesforce, Workday, o9, Supply Chain Platform etc.) A 15 years full time education is required.
- Position Open across PAN India
Eligibility & process
Who can apply
Experience: 8-13 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
19 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for Cerebra and tech roles.
Technical Placement Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
Cerebra Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Cerebra and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Data Mapping, Mapping, Conversions, Migration, Data Migration, Data Conversion, Oracle DB, Generative AI / LLMs) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Cerebra Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer
Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer
Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Behavioural & HR questions 3
Why do you want to join Cerebra as a Software Engineer (Workday Data Mapping & Conversions)?
Highlight Cerebra's market reputation, recent tech innovations, and how your skills in Data Mapping directly solve their team's objectives.
Highlight Cerebra's market reputation, recent tech innovations, and how your skills in Data Mapping directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
20-30 Lacs PA
Bengaluru, India
Experience: 8-13 Yrs. Open to matching quโฆ
