11+ User Research Jobs in Coimbatore | User Research Job openings in Coimbatore

UI / UX Designer for Industrial IOT Product.

User-centered design principles: Deep understanding of user needs and behaviors.

Information architecture: Organizing and structuring content for optimal user experience.

Interaction design: Creating intuitive and engaging user flows and interactions.

Wireframing & Prototyping: Creating low and high-fidelity prototypes to test and iterate designs.

Analytics & data analysis: Using data to inform design decisions and measure design effectiveness.

Visual design principles: Typography, color theory, layout, and visual hierarchy.

UI design tools: Figma, Sketch, Adobe XD, etc.

Responsive design: Designing interfaces that adapt seamlessly to various screen sizes.

Accessibility standards: WCAG guidelines for creating inclusive designs.

Front-end development basics: HTML, CSS, and JavaScript for understanding technical feasibility.

Software & Tools:

Design software: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), InVision, etc.

Prototyping tools: Figma, Adobe XD, InVision Studio, Axure, etc.

Collaboration tools: Jira, Confluence, Slack, etc.

Version control: Git or similar for managing design files.

Soft Skills:

Communication: Clearly articulating design decisions and presenting ideas to stakeholders.

Collaboration: Working effectively with cross-functional teams (developers, product managers, marketers).

Problem-solving: Identifying user pain points and developing creative solutions.

Critical thinking: Analyzing user data and feedback to make informed design decisions.

Mentorship: Guiding and supporting junior designers.

Time management: Handling multiple projects and meeting deadlines.

Adaptability: Staying current with design trends and emerging technologies.

Beyond the Basics:

Domain expertise: Industrial IOT is a plus

Who are we ?

Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.

The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.

Tech Superpowers

End-to-End Ecosystem Thinker: You build modular, reusable data products across ingestion, transformation (ETL/ELT), and consumption layers. You ensure the entire data lifecycle is governed, scalable, and optimized for high-velocity delivery.

The MDS Architect. You reimagine business with the Modern Data Stack (MDS) to deliver Data Mesh implementations and real value. You treat every dataset as a measurable "Data Product with a clear focus on ROI and time-to-insight.

Distributed Compute & Scale Savant: You craft resilient architectures that survive petabyte scale volume and data skew without "breaking the bank. You prove your designs with cost-performance benchmarks, not just slideware.

Al-Ready Orchestrator: You engineer the bridge between structured data and Unstructured/Vector stores. By mastering pipelines for RAG models and GenAl, you turn raw data into the fuel for intelligent, automated workflows.

The Quality Craftsman (Builder @ Heart): You are an outcome-focused leader who lives in the code. From embedding GDPR/PII privacy-by-design to optimizing SQL, Python, and Spark daily, you ensure integrity is baked into every table

Experience & Relevance

Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads

Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.

Al-Native Workflow: You don't just build for Al you build with Al. You must be proficient in using Al coding assistants (e.g.. GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative Al.

Architectural Portfolio: Evidence of leading 2-3 large-scale transformations-including platform migrations, data lakehouse builds, or real-time analytics architectures.

Foster a culture of technical excellence by mentoring and inspiring a team of Data analysts and engineers. Lead deep-dive code reviewa, prompte best-practice data modeling and ensure the squad adopts modern engineering standards like CI/CD For data

Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO's business vision into a Lead Engineer's technical specification without losing anything in translation.

The "Solver" Mindset: A track record of solving 'impossible data problems-whether it's fixing massive data skew, optimizing spiraling cloud costs, or architecting 99.9% available data services.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

pay: ₹700,000.00 - ₹1,200,000.00 per year

Job description:

Company Description: KGiSL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGiSL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.

Job Title: SEO Team Lead

Location: Coimbatore

Department: Digital Marketing

Job Summary:

We are looking for a highly experienced Head of SEO to drive our digital growth strategy. The ideal candidate will be a data-driven leader with expertise in SEO, SEM, PPC, Paid Campaigns, and Social Media Marketing, with a proven record of generating high-quality leads that convert into business revenue. This role requires strategic vision, team leadership, and hands-on execution to maximize ROI across organic and paid channels.

Key Responsibilities

Strategy & Leadership

Experience: EDUTECH is mandatory 

Develop and lead the overall digital marketing strategy with a strong focus on Manage and mentor a team of SEO, PPC, SEM, and SMM specialists.

Align SEO, SEM, and paid campaigns with overall business goals and sales targets.

SEO & SEM:

Oversee on-page, off-page, and technical SEO to boost organic visibility and lead conversions.

Drive SEM initiatives (Google Ads, Bing Ads, etc.) to generate qualified leads.

Conduct competitor and keyword analysis to capture high-intent traffic.

PPC & Paid Campaigns

Plan, execute, and optimize PPC campaigns across Google Ads, LinkedIn, Meta, and other ad platforms.

Manage budgets efficiently to maximize ROI and minimize CPL (Cost per Lead).

Implement A/B testing for ad creatives, landing pages, and CTAs.

Social Media Marketing (SMM);

Oversee paid and organic social campaigns across platforms (LinkedIn, Instagram, Facebook, Twitter, YouTube).

Use social media ads strategically for B2B/B2C lead generation.

Monitor engagement, conversion, and ROI from social campaigns.

Analytics & Reporting:

Leverage tools like Google Analytics, Search Console, Ahrefs, SEMrush, HubSpot, Salesforce, etc.

Track KPIs: organic traffic, CTR, CPC, CPL, CAC, ROI, and overall funnel performance.

Present monthly performance dashboards with actionable insights.

Key Skills & Competencies:

7–12 years of experience in SEO, SEM, PPC, Paid Campaigns, and SMM and 2-3 years of experience in EDUTECH 

Deep knowledge of search engine algorithms, paid media platforms, and lead funnels.

Strong understanding of CRO (Conversion Rate Optimization), retargeting, and remarketing strategies.

Hands-on expertise with ad platforms (Google Ads, Meta Ads, LinkedIn Ads, Display, YouTube).

Proficiency in SEO/SEM tools (Ahrefs, SEMrush, Moz, Screaming Frog).

Excellent leadership, analytical, and communication skills.

Qualifications:

Bachelor’s/Master’s degree in Marketing, Business, IT, or related field.

Certifications in Google Ads, HubSpot, Meta Blueprint, SEO/SEM (preferred).

Job Type: Full-time

Benefits:

Health insurance

Life insurance

Provident Fund

Work Location: In person

Greeting From Cadeploy.

Looking for 4+yrs Experience in SDS2 sr. modeler/sr. checker at Cadeploy Engineer.

Open to work from office, flexibility given to manage the work.

Location - Coimbatore/Hyderabad.

#sds2 #tekla #AISC #usa #reber #engineer #hiringengineers #recruitment #modelers #detailers #checkers #walkindrive

Work as a member of a team responsible for developing a large-scale, highly available and fault-tolerant SaaS based Leasing & Asset management solution in the commercial real estate space in accordance with established processes. You will apply your knowledge of building scalable, distributed applications and have the opportunity to work with technologies & frameworks such as Ruby on Rails, NodeJS, ReactJS, Heroku, AWS, Postgres DB​

Essential Functions include but are not limited to the following. 

You will be expected to:​

• Contribute to all phases in the software lifecycle – requirements analysis, solution design, development, and deployment
• Maintain high quality standards for the work undertaken and be responsible for the quality of deliverables.
• Ensure assigned projects are developed in accordance with established engineering processes, adhering to scope, schedule constraints and agile project plans
• Guide/mentor the less experienced team members
• Participate in code reviews
• Work effectively as part of a distributed team
• Document the features worked by him/her

Key technical expertise areas expected for this role:

• Strong programming skills in Ruby with clear understanding of Object-Oriented and Functional programming. 
• Experience working with Ruby on Rails framework
• Experience on REST API Programming preferably based on a Microservices Architecture
• Good Understanding of Databases (Postgres) and proficiency in database schema designing & writing efficient SQL Queries. 
• Strong troubleshooting skills
• Demonstrable ability to learn new programming languages and frameworks quickly
• Experience with distributed systems with specific focus on security and scalability
• Experience with modern cloud technologies such as AWS

 Additional areas that would add value:

• Experience working with Cloud Service providers & platforms like AWS, Heroku 
• Strong understanding of Design Patterns & their application in system design
• Test Driven & Behavior Driven Development
• Automated Unit/Integration testing
• Using DevOps & Infrastructure tooling such as GoCD/Jenkins, Git
• Frontend web development with JavaScript frameworks like React
• Experience working on  projects, preferably in the real estate domain
• Experience working with Virtualization and Containerization technologies including Docker, Kubernetes.
• Experience working in Agile Scrum/Kanban methodologies
• Experience working with Linux and Shell scripting

Education: 

• Bachelors or Master’s in Computer Science or related fields

Job Description: 

 
• Responsible for the Strategy, Roadmap, Architecture, Design, Engineering and Lifecycle Delivery of our End User Devices, ensuring they are current and meet the needs of the business.  These technologies include physical devices, Operating Systems, Device Software, printing and mobility services
•        SCCM, (Windows 10, MAC & Linux) desktops, Modern Endpoint Management, InTune, endpoint security
•        Customer focused, confident and articulate with lots of experience in stakeholder meetings and presentations
•        Skills in contributing to technical roadmaps for technologies supported by End users
•        High level understanding of all EUC technology namely SCCM, Nexthink, OS (Windows and Mac) , End point security , Privilege management  , Intune / JAMF
•        Govern the upgrades and compatibility of End User devices to ensure seamless upgrades to the business and new functionality and capabilities are introduced effectively
•        Simplify the environment so our technology is current and delivers a great customer experience
•        Responsible for the management, prioritization and execution of demand
•        Engages with key Stakeholders and Customers to ensure these technologies meet customer needs.
•        Manages our technology partners effectively to ensure that our services are optimized and cost effective
•        Lead a strong technical team to deliver the right technology services to the business to deliver a great customer experience across these services
•        Architecture governance for the Device portfolio to ensure all our technology solutions are designed and implemented to work seamlessly with our applications and infrastructure to deliver a great customer experience.
•        Work across the Infrastructure and Applications team to ensure effective lifecycle management so our IT tools and services are optimized for the business.