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big data engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Data Engineer</h2>
Experience: 3&ndash;5 Years 
Location: Remote 
 
Only CV matching with JD will be Shortlisted<h3 class="jobSectionHeader">
Role Purpose</h3>
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines within the Azure ecosystem. You will play a key role in enabling data-driven insights by developing reliable data solutions that support analytics, reporting, and business intelligence initiatives.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF)</li><li>
Work with Azure Data Lake Storage (ADLS) for data ingestion, storage, and processing</li><li>
Build and optimize data transformations using PySpark and SQL</li><li>
Integrate data from multiple structured and unstructured sources</li><li>
Ensure data quality, integrity, and consistency across pipelines</li><li>
Support implementation of Lakehouse architecture and Medallion (Bronze, Silver, Gold) layers</li><li>
Collaborate with analysts and BI teams to enable reporting and data models</li><li>
Monitor, troubleshoot, and resolve data pipeline issues</li><li>
Document data processes, workflows, and pipeline logic</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience (3&ndash;5 Years)</h3><ul><li>
Hands-on experience with Azure Data Factory (ADF) and ADLS</li><li>
Strong programming skills in PySpark and SQL</li><li>
Experience in building and maintaining ETL pipelines</li><li>
Working knowledge of structured and unstructured data processing</li><li>
Basic understanding of Lakehouse architecture and Medallion framework</li><li>
Familiarity with Delta Lake concepts</li><li>
Strong problem-solving and debugging skills</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with Azure Databricks</li><li>
Understanding of data modeling and data warehousing concepts</li><li>
Exposure to data governance and data quality frameworks</li><li>
Experience working in Agile/Scrum environments</li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li>
Strong communication and stakeholder collaboration skills</li><li>
Analytical mindset with attention to detail</li><li>
Ability to work independently in a remote setup</li><li>
Team player with a proactive approach to problem-solving</li></ul><h3 class="jobSectionHeader">
Career Progression Opportunity</h3>
This role provides a pathway to grow into a Senior Data Engineer (5&ndash;10 Years) position, where responsibilities include:<ul><li>
Designing end-to-end data architectures</li><li>
Working extensively with Microsoft Fabric and advanced Azure services</li><li>
Leading data engineering initiatives and mentoring team members</li><li>
Optimizing large-scale distributed data systems</li></ul>
fU4mgrHxuD</div>

Data Engineer

Zones IT Solutions

<div>
 
 Description
 
 
 
 Company Overview:
 
 
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
 
 
 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
 
 
 Position Overview
 
 
 The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business.
 
 
 
 What You&rsquo;ll Do As The Data Engineer
 
 
 
 Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
 
 
 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain data pipelines using Azure Data Factory for batch and incremental loads.
 </li>
 <li>
 Develop transformation workflows in Azure Databricks.
 </li>
 <li>
 Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures.
 </li>
 <li>
 Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency.
 </li>
 <li>
 Implement data quality, validation, and monitoring, with alerts and health checks for pipelines.
 </li>
 <li>
 Ensure data security and governance, including PII handling, access policies, and Key Vault.
 </li>
 <li>
 Collaborate with application and integration engineers on API-driven and event-driven data requirements.
 </li>
 <li>
 Support Power BI at a basic level (datasets, model optimization, refresh schedules)
 
 
 </li>
 </ul>
 
 What You Will Bring To The Team
 
 
 
 <ul>
 <li>
 Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models.
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 Azure Data Factory (ADF)
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure SQL
 </li>
 </ul>
 <li>
 Solid understanding of ETL/ELT patterns, data modeling, and orchestration.
 </li>
 <li>
 Comfortable integrating with APIs, Logic Apps, and Function Apps.
 </li>
 <li>
 Working knowledge of Power BI datasets and refresh management.
 </li>
 <li>
 Clear communication skills and the ability to work independently and cross-functionally.
 
 </li>
 </ul>
 Zones offers a comprehensive Benefits package
 
 
 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
 
 
 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
 
 
 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
 
 
 Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
 
 
</div>

Job Bank Recruitment Network

DATA ENGINEER &mdash; AI &amp; MODEL TRAININGJob Bank &mdash; AI Business Engine DevelopmentLocation: Remote (Pakistan) Language: Must speak Fluent EnglishSalary: Competitive &mdash; Based on Experience---About Job BankJob Bank is a UK‑focused platform helping people start recruitment and training businesses through two simple annual plans (&pound;100 &amp; &pound;200). We are now building Job Bank AI &mdash; a specialised AI system designed to help users create and scale their own recruitment or training business.Our AI ecosystem includes:<ul><li>Recruitment AI</li><li>Training &amp; Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul>We are building a vertical AI platform, with deep industry‑specific intelligence &mdash; NOT a generic chatbot.This is your opportunity to become a foundational part of a fast‑growing AI product used across the UK.---Role OverviewWe are looking for a Data Engineer who can prepare, structure, clean and optimise datasets for AI fine‑tuning and retrieval systems.Your work will directly power:<ul><li>fine‑tuned recruitment models</li><li>training/course intelligence</li><li>business‑building AI</li><li>outreach and marketing AI</li><li>autonomous AI assistants</li><li>AI-driven games and simulations</li></ul>This role is crucial to the accuracy, reliability and performance of Job Bank AI.---Key ResponsibilitiesData Preparation &amp; Engineering<ul><li>Collect datasets related to recruitment, training, business planning, marketing, and operations</li><li>Clean and standardise raw data (text, CSV, JSON, documents)</li><li>Label and structure data into instruction formats for LLM training</li><li>Build datasets for fine‑tuning small/medium models</li><li>Develop evaluation datasets for model scoring</li></ul>Data Architecture &amp; Pipelines<ul><li>Build and maintain ETL pipelines for AI model ingestion</li><li>Create scalable data workflows to support training cycles</li><li>Manage datasets using tools like Pandas, PySpark or equivalent</li><li>Optimise dataset quality, consistency, and token efficiency</li></ul>Vector Databases &amp; Retrieval<ul><li>Work with embeddings and vector databases (FAISS, Chroma, Pinecone, Weaviate)</li><li>Build and maintain retrieval datasets for RAG systems</li><li>Ensure high‑quality indexing for search, scoring and assistant use</li></ul>AI Model Support<ul><li>Support AI/ML engineers during fine‑tuning cycles</li><li>Prepare domain‑specific datasets for niche models</li><li>Validate and test model outputs against evaluation sets</li><li>Assist with dataset revisions and incremental model improvements</li></ul>Collaboration<ul><li>Work with AI Engineers to support model training</li><li>Work with Full‑Stack Developers to integrate datasets into the platform</li><li>Work directly with the founder to align on roadmap and priorities</li></ul>---Technical Skills (Must Have)Data Engineering<ul><li>Data cleaning, validation, normalisation</li><li>ETL pipeline development</li><li>JSON, CSV, XML processing</li><li>Strong Python (Pandas, NumPy)</li><li>Experience with large text datasets</li><li>Dataset versioning and quality control</li></ul>AI/Data Skills<ul><li>Experience preparing datasets for LLM fine‑tuning</li><li>Understanding of instruction tuning formats</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Chroma)</li><li>RAG data preparation</li><li>Working knowledge of tokenisation and dataset optimisation</li></ul>General<ul><li>Strong attention to detail</li><li>Ability to work quickly and independently</li><li>Fluent English communication skills</li><li>Experience supporting AI development teams</li><li>Ability to think like a product-focused engineer</li></ul>---Bonus Skills (Nice to Have)<ul><li>Experience with recruitment or training datasets</li><li>Knowledge of course design or HR workflows</li><li>Familiarity with LangChain, LlamaIndex, or similar</li><li>Exposure to machine learning pipelines</li><li>Experience working with international/remote teams</li></ul>---What We Offer<ul><li>Competitive salary (based on expertise)</li><li>Long‑term role with growth potential</li><li>Work on a high‑impact AI product</li><li>A stable, ambitious product roadmap</li><li>Flexible remote working</li><li>Supportive, fast‑paced, visionary team</li><li>Opportunity to build category‑defining AI</li></ul>---Why This Role MattersYou will be the engine behind our AI intelligence. Your datasets will shape:<ul><li>how accurately the AI writes job ads</li><li>how well it scores CVs</li><li>how intelligent the business plans are</li><li>how powerful the training/courses become</li><li>how effective the assistants behave</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: Remote

NorthBay Solutions

<div>
 
 
 
 
 
 
 Employment Type:
 
 
 
 
 
 
 
 
 
 
 
 
 Full-Time | Permanent
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 Pakistan (Lahore / Karachi / Islamabad) &ndash; Hybrid
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 
 
 
 
 
 
 
 We are looking for a
 
 
 
 
 
 
 
 
 
 
 
 
 Lead Data Engineer
 
 
 
 
 
 
 
 
 
 
 
 
 with strong expertise in
 
 
 
 
 
 
 
 
 
 
 
 
 AWS and database technologies (Oracle PL/SQL, PostgreSQL PL/pgSQL, Amazon Redshift)
 
 
 
 
 
 
 
 
 
 
 
 
 . The ideal candidate will lead the design, development, and optimization of scalable data platforms and drive enterprise-level data engineering initiatives.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Experience
 
 
 
 
 
 
 
 
 
 
 
 
 
 10+ years of experience in Data Engineering, Data Warehousing, and Database Development
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Primary Skills
 
 
 
 
 
 
 
 
 
 
 
 
 
 AWS Data Engineering, Data Architecture, Data Warehousing, SQL Development
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Technologies
 
 
 
 
 
 
 
 
 
 
 
 
 
 Must Have: Redshift, Oracle PL/SQL, PostgreSQL PL/pgSQL
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Nice to Have: AWS (S3, Lambda), SQL, ETL/ELT, Data Modeling, Query Optimization, Performance Tuning, Linux/Unix, Git, CI/CD
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Lead the architecture and implementation of
 
 
 
 
 
 
 
 
 
 
 
 
 data pipelines and data warehouse solutions on AWS
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Design and optimize
 
 
 
 
 
 
 
 
 
 
 
 
 Amazon Redshift-based analytics platforms
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Develop and review complex
 
 
 
 
 
 
 
 
 
 
 
 
 PL/SQL and PL/pgSQL procedures, functions, and scripts
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Drive
 
 
 
 
 
 
 
 
 
 
 
 
 data migration and transformation
 
 
 
 
 
 
 
 
 
 
 
 
 across Oracle, PostgreSQL, and Redshift environments
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Implement
 
 
 
 
 
 
 
 
 
 
 
 
 performance tuning strategies
 
 
 
 
 
 
 
 
 
 
 
 
 including indexing, partitioning, and query optimization
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Establish best practices for
 
 
 
 
 
 
 
 
 
 
 
 
 data governance, security, and quality
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Collaborate with cross-functional teams to define and deliver data solutions
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Mentor engineers, conduct code reviews, and provide technical leadership
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Key Requirements
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Strong hands-on experience with
 
 
 
 
 
 
 
 
 
 
 
 
 AWS data ecosystem (Redshift, Glue, S3, Lambda)
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Advanced expertise in
 
 
 
 
 
 
 
 
 
 
 
 
 Oracle PL/SQL and PostgreSQL (PL/pgSQL)
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Proven experience in
 
 
 
 
 
 
 
 
 
 
 
 
 enterprise-scale data warehouse architecture
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Strong understanding of
 
 
 
 
 
 
 
 
 
 
 
 
 ETL/ELT frameworks and pipeline design
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Expertise in
 
 
 
 
 
 
 
 
 
 
 
 
 performance tuning and large-scale data processing
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Prior experience in
 
 
 
 
 
 
 
 
 
 
 
 
 technical leadership or mentoring roles
 
 
 
 
 
 
</div>

Lead Data Engineer (AWS / PLSQL / PL/PGSQL)

Seeka Technology

<div>Company Description 
We believe strong early career roles should do more than give someone a job title. They should help people grow into the kind of professionals they want to become. At SEEKA Technologies, we give junior team members meaningful work that builds real capability, sharpens problem-solving, and develops practical experience in fast-moving business and technology environments. Our goal is to help emerging talent strengthen their skills, expand their potential, and prepare for a future shaped by constant innovation across business and IT.
SEEKA Technologies (Not Seeka Limited) is a project under its parent organisation, called Fresh Futures Australia, which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match students and job seekers to the right opportunities relevant to them from Kindergarten up to the University, along with vocational training centres and language schools, and of course to businesses and companies who need the right candidates. Our mission is to make it easier for anyone to find, filter and apply to educational institutions and companies in a more seamless manner.
We are currently looking to hire a junior Backend AI &amp; Data Pipeline Engineer who wants to build real-world experience in backend systems, data processing, scraping, retrieval, and cloud-based infrastructure. This role is ideal for someone who already has hands-on technical experience and wants to grow further by working on meaningful engineering challenges that support Yuzee&rsquo;s intelligent matching platform. You will contribute to the systems that process data, power search and matching, and improve the efficiency, reliability, and scalability of our platform.
Below are the important details you will need to take note of:<ul><li>
English is the primary language used in the role</li><li>
This is a full-time remote/work-from-home position</li><li>
We welcome both local and international candidates</li><li>
Candidates should have a degree or proven practical experience relevant to the role</li></ul> 

Job Description 
About the role
We are looking for a Backend AI &amp; Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. You will design and maintain scalable, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career pathway recommendations.
What you'll do<ul><li>
Design and maintain three distinct processing pipelines &mdash; scheduled job ingestion, event-driven course processing, and a periodic knowledge graph builder &mdash; each with independent trigger logic and cost controls</li><li>
Generate and manage semantic embeddings via Amazon Bedrock (Titan v2), index them in MongoDB Atlas Vector Search, and calibrate similarity thresholds to ensure match accuracy</li><li>
Build and maintain a knowledge graph linking jobs, courses, skills, and industries using FP-Growth association rules and archetype-to-SOC code mapping</li><li>
Build and improve a two-stage discovery and matching API on AWS Lambda &mdash; vector retrieval first, then deep eligibility scoring with LLM re-ranking</li><li>
Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption, keeping infrastructure costs under control as data volume scales</li><li>
Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines</li></ul>
What we're looking for<ul><li>
1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems</li><li>
Hands-on experience with AWS serverless and container services &mdash; Lambda, ECS Fargate, EventBridge, and Step Functions</li><li>
Strong Python skills &mdash; Pandas, async processing, bulk database operations, and text cleaning</li><li>
Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus</li><li>
Cost-conscious infrastructure mindset &mdash; you think in per-record compute costs, free tiers, Spot resilience, and right-sizing</li><li>
Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders</li></ul>
Nice to have<ul><li>
Experience with knowledge graphs or association rule mining (FP-Growth, Apriori)</li><li>
Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results</li><li>
Background in edtech, jobtech, or recommendation/matching systems</li></ul> 

Qualifications 
Degree or existing proven experience 
Additional Information 
Use this instead:
Benefits<ul><li>
Fully remote / work-from-home role</li><li>
Flexible working hours within the team&rsquo;s expected schedule and business needs</li><li>
Opportunity to work on real backend, data, and AI infrastructure projects</li><li>
Exposure to practical engineering challenges in scraping, pipelines, retrieval, and cloud systems</li><li>
Ongoing growth and development within a fast-moving technology environment</li><li>
Opportunity to build long-term value and grow with the company based on performance, including progression and increased responsibility over time</li></ul>
A slightly more polished version:
Benefits<ul><li>
Fully remote / work-from-home position</li><li>
Some flexibility in working hours, depending on team requirements and deliverables</li><li>
Hands-on experience working on meaningful backend, data pipeline, and AI-related systems</li><li>
Opportunity to contribute to a growing platform with real product and engineering challenges</li><li>
Professional growth in a practical, fast-paced environment</li><li>
Strong potential for long-term progression based on performance, regardless of location</li></ul>
If you want it to sound more attractive for hiring, the strongest version would be to add things like:<ul><li>
ownership</li><li>
real product impact</li><li>
career growth</li><li>
direct exposure to architecture and scaling decisions</li></ul></div>

Backend AI & Data Pipeline Engineer

Datamatics Technologies

<div>
 
 Role Overview
 
 
 Datamatics is seeking a highly motivated
 
 AI Engineer
 
 with a strong focus on designing, developing, and deploying production-grade
 
 LLM-powered applications
 
 . The ideal candidate will have hands-on experience with modern GenAI frameworks such as LangChain and LangGraph, and a deep understanding of Retrieval-Augmented Generation (RAG) architectures.
 
 
 Key Responsibilities
 
 
 AI Application Development
 
 <ul>
 <li>
 Design, develop, and deploy scalable AI applications using Python and modern GenAI frameworks (e.g., LangChain, LangGraph, LlamaIndex)
 </li>
 <li>
 Build production-ready LLM applications for real-world use cases across public health and enterprise domains
 </li>
 <li>
 Integrate state-of-the-art generative AI models to enhance product capabilities and consulting offerings
 </li>
 </ul>
 
 RAG &amp; NLP Engineering
 
 <ul>
 <li>
 Develop and optimize
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines using advanced techniques such as:
 <ul>
 <li>
 Semantic search
 </li>
 <li>
 Hybrid search
 </li>
 <li>
 Re-ranking strategies
 </li>
 </ul>
 </li>
 <li>
 Apply NLP concepts including embeddings, Named Entity Recognition (NER), and text processing to improve model performance
 </li>
 <li>
 Fine-tune retrieval and generation strategies for accuracy, latency, and scalability
 </li>
 </ul>
 
 Architecture &amp; Scalability
 
 <ul>
 <li>
 Collaborate with Data Engineers and Data Scientists to design scalable, high-performance AI solutions
 </li>
 <li>
 Ensure smooth productionization of AI models in collaboration with MLOps teams
 </li>
 <li>
 Deploy and manage AI services using Kubernetes and containerization technologies
 </li>
 <li>
 Work with cloud platforms (AWS, Azure, or GCP) and big data ecosystems
 </li>
 </ul>
 
 Innovation &amp; Continuous Learning
 
 <ul>
 <li>
 Stay updated with the latest advancements in AI, LLMs, and NLP
 </li>
 <li>
 Contribute to innovation by experimenting with emerging tools, frameworks, and methodologies
 </li>
 <li>
 Drive adoption of best practices in AI engineering and system design
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field (with focus on AI/ML/NLP)
 </li>
 <li>
 1&ndash;3 years of hands-on experience in AI/ML application development
 </li>
 <li>
 Strong programming skills in Python
 </li>
 </ul>
 
 Required Skills
 
 <ul>
 <li>
 Experience with GenAI frameworks such as LangChain, LangGraph, and/or LlamaIndex
 </li>
 <li>
 Strong understanding of:
 <ul>
 <li>
 LLMs and prompt engineering
 </li>
 <li>
 RAG architectures
 </li>
 <li>
 Embeddings and vector databases
 </li>
 </ul>
 </li>
 <li>
 Familiarity with NLP techniques such as NER, semantic search, and text processing
 </li>
 <li>
 Experience with:
 <ul>
 <li>
 Kubernetes and containerization (Docker)
 </li>
 <li>
 Cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Big data tools (e.g., Apache Spark) and data lake architectures
 </li>
 </ul>
 </li>
 <li>
 Strong problem-solving, analytical thinking, and communication skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience building production-grade AI/LLM applications
 </li>
 <li>
 Exposure to MLOps practices and model lifecycle management
 </li>
 <li>
 Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate)
 </li>
 <li>
 Understanding of scalable system design and microservices architecture
 </li>
 </ul>
</div>

AI Engineer

S&P Global

About the Role: 
Grade Level (for internal use): 11
 Job Description
 
The Team: 
We seek a highly motivated, enthusiastic, and skilled engineer for our Industry Data Solutions Team. We strive to deliver sector-specific, data-rich, and hyper-targeted solutions for evolving business needs. You will be expected to participate in the design review process, write high-quality code, and work with a dedicated team of QA Analysts and Infrastructure Teams.
 
The Impact: 
Enterprise Data Organization is seeking a Software Developer to create software design, development, and maintenance for data processing applications. This person would be part of a development team that manages and supports the internal & external applications that is supporting the business portfolio. This role expects a candidate to handle any data processing, big data application development. We have teams made up of people that learn how to work effectively together while working with the larger group of developers on our platform.
 
What’s in it for you: 
Opportunity to contribute to the development of a world-class Engineering team .
 Engage in a highly technical, hands-on role designed to elevate team capabilities and foster continuous skill enhancement.
 Be part of a fast-paced, agile environment that processes massive volumes of data—ideal for advancing your software development and data engineering expertise while working with a modern tech stack.
 Contribute to the development and support of Tier-1, business-critical applications that are central to operations.
 Gain exposure to and work with cutting-edge technologies, including AWS Cloud and Bigdata .
 Grow your career within a globally distributed team , with clear opportunities for advancement and skill development.
 
Responsibilities: 
Design and develop applications, components, and common services based on development models, languages, and tools, including unit testing, performance testing, and monitoring, and implementation
 Support business and technology teams as necessary during design, development, and delivery to ensure scalable and robust solutions
 Build data-intensive applications and services to support and enhance fundamental financials in appropriate technologies.( C#, .Net Core, Bigdata, ,Python, Scala, NIFI , SQL)
 Build data modeling, achieve performance tuning and apply data architecture concepts
 Develop applications adhering to secure coding practices and industry-standard coding guidelines, ensuring compliance with security best practices and internal governance policies.
 Implement and maintain CI/CD pipelines to streamline build, test, and deployment processes; develop comprehensive unit test cases and ensure code quality
 Provide operations support to resolve issues proactively and with utmost urgency
 Effectively manage time and multiple tasks
 Communicate effectively, especially in writing, with the business and other technical groups
 
Basic Qualifications: 
Bachelor's/Master’s Degree in Computer Science, Information Systems or equivalent.
 Minimum 5 to 8 years of strong hand-development experience in C#, .Net Core, Cloud Native, MS SQL Server backend development. Proficiency with Object Oriented Programming.
 Knowledge in Grafana, Kibana, Big data, Git Hub, EMR, Terraforms, AI-ML
 Advanced SQL programming skills
 Highly recommended skillset in AWS .
 Understanding of database performance tuning in large datasets
 Ability to manage multiple priorities efficiently and effectively within specific timeframes
 Excellent logical, analytical and communication skills are essential, with strong verbal and writing proficiencies
 Knowledge of Fundamentals, or financial industry highly preferred.
 Experience in conducting application design and code reviews
 
Proficiency with following technologies: 
Object-oriented programming
 Programing Languages (C#, .Net Core, APIs)
 AWS Cloud Services And Cloud Computing
 Database systems (SQL, MS SQL)
 No-SQL (Databricks, Scala, python),
 Scripting (Bash, Scala, Perl, Powershell)
 
Preferred Qualifications: 
Hands-on experience with cloud computing platforms including AWS, Azure
 Proficient in working with EMR and Databricks for cloud-based data analytics and processing.
 
What’s In It For You?
 
Our Mission: 
Advancing Essential Intelligence.
 
Our People: 
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
 
Our Values: 
Integrity, Discovery, Partnership
 
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
 
Benefits: 
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
 
Our benefits include: 
Health & Wellness: Health care coverage designed for the mind and body.
 
Flexible Downtime: Generous time off helps keep you energized for your time on.
 
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
Global Hiring and Opportunity at S&P Global: 
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
Recruitment Fraud Alert: 
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
 
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Equal Opportunity Employer
 S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal
 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
 
Job ID: 327556
 Posted On: 2026-04-07
 Location: Ahmedabad, Gujarāt, India

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