N #3005
Applications open
Full-Time Job
Data Engineer / AI Tech Lead
Suzva Software Technologies
About the role
Hands-on Data Engineer & AI Tech Lead to work with a strategic energy client in Singapore. Mode: Remote. The role focuses on designing, building, and evolving the client's data platform using Databricks and Microsoft Fabric on Microsoft Azure, while extending into AI engineering, software development, and business process automation.
This role requires a strong combination of technical expertise, architectural thinking, and problem-solving skills. You will work closely with client stakeholders to understand business challenges, design scalable solutions, and deliver them end to end-from data pipelines and platform architecture to AI-driven applications, APIs, and automation. As a trusted technical partner to the client, you will take ownership of complex technical challenges, recommend the right solutions, and drive implementation while ensuring quality, scalability, security, and business value.
Key Responsibilities
- Data Engineering & Platform Development
- Design, build, and maintain scalable data platforms and pipelines using Azure Databricks and Microsoft Fabric.
- Develop robust ETL/ELT pipelines to ingest, transform, process, and integrate data from multiple sources.
- Implement data lakehouse architectures, data modelling, and data transformation frameworks.
- Work with Python, PySpark, and SQL to process large datasets efficiently.
- Establish data quality checks, validation frameworks, monitoring, and error-handling mechanisms.
- Optimise data pipelines, queries, and platform performance while managing costs.
- Implement data governance, security, access controls, and best practices for enterprise data management.
- AI & Machine Learning Engineering
- Identify opportunities to apply AI, machine learning, and generative AI to address business challenges.
- Design and develop AI-powered solutions, including intelligent applications, predictive models, and workflow automation.
- Integrate AI capabilities into existing data platforms and business applications.
- Work with large language models (LLMs), retrieval-augmented generation (RAG), and AI orchestration frameworks where applicable.
- Develop proof of concepts and translate successful experiments into production-ready solutions.
- Evaluate AI solutions for accuracy, reliability, scalability, security, and business impact.
- Software Engineering & API Development
- Design, develop, and maintain APIs, backend services, and applications to support business requirements.
- Build reusable, maintainable, and well-tested software components using Python and relevant frameworks.
- Integrate data platforms, AI services, and enterprise applications through APIs and event-driven architectures where appropriate.
- Develop automation solutions to streamline business processes and reduce manual effort.
- Follow software engineering best practices, including version control, code reviews, testing, CI/CD, and documentation.
- Technical Leadership & Solution Architecture
- Lead technical discussions and provide hands-on guidance across data engineering, AI, and software development.
- Translate business requirements into technical designs, solution architectures, and implementation plans.
- Make informed technology and architecture decisions, balancing scalability, maintainability, performance, and cost.
- Establish coding standards, development practices, and engineering quality benchmarks.
- Mentor team members and collaborate with cross-functional teams to solve complex technical problems.
- Take ownership of technical delivery, proactively identify risks, and drive issues through to resolution.
- Client Collaboration & Business Problem-Solving
- Work directly with client stakeholders to understand business objectives, technical challenges, and priorities.
- Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,remote
Eligibility & process
Who can apply
Experience: 6-11 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
20 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 Suzva Software Technologies 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
Suzva Software Technologies Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Suzva Software Technologies 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 (SQL, Architecture, Microsoft, Governance, Data, Data Engineering, Machine Learning, Python) & 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
Suzva Software Technologies Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Suzva Software Technologies as a Data Engineer / AI Tech Lead?
Highlight Suzva Software Technologies's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Highlight Suzva Software Technologies's market reputation, recent tech innovations, and how your skills in SQL 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.
Competitive Package (Best in Industry)
Remote, India
Experience: 6-11 Yrs. Open to matching quโฆ
