11+ IT asset management Jobs in Kochi (Cochin) | IT asset management Job openings in Kochi (Cochin)

•  Perform Build activities (hardware & software configuration) of customer environment and contribute to improve Build process.
•  Coordinate for Service transition activities.

• Initiate change / release requests in line 
• customer change / release management process.

•  Work on the major problem tickets assigned by ITIS Teams
• Hands on experience in hardware asset management.
• experience on ticketing tool like service now or SNOW
• ITIL Certified.

Job Description:

We are looking for a Senior Java Developer with strong expertise in Apache Kafka and backend systems. The ideal candidate will have hands-on experience in Java (8/11+), Spring Boot, and building scalable, real-time data pipelines using Kafka.

Key Responsibilities:

• Develop and maintain backend services using Java and Spring Boot
• Design and implement Kafka-based messaging and streaming solutions
• Optimize Kafka performance (topics, partitions, consumers)
• Collaborate with cross-functional teams to deliver scalable microservices
• Ensure code quality and maintain best practices in a distributed environment

Required Skills:

• 6+ years in Java development
• 3+ years of hands-on Kafka experience (producers, consumers, streams)
• Strong knowledge of Spring Boot, REST APIs, and microservices
• Familiarity with Kafka Connect, Schema Registry, and stream processing
• Experience with containerization (Docker), CI/CD, and cloud platforms (AWS/GCP/Azure)

JOB DETAILS:

* Job Title: Associate III - Data Engineering

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4-6 years

* Location: Trivandrum, Kochi

Job Description

Job Title:

Data Services Engineer – AWS & Snowflake

Job Summary:

As a Data Services Engineer, you will be responsible for designing, developing, and maintaining robust data solutions using AWS cloud services and Snowflake.

You will work closely with cross-functional teams to ensure data is accessible, secure, and optimized for performance.

Your role will involve implementing scalable data pipelines, managing data integration, and supporting analytics initiatives.

Responsibilities:

• Design and implement scalable and secure data pipelines on AWS and Snowflake (Star/Snowflake schema)

• Optimize query performance using clustering keys, materialized views, and caching

• Develop and maintain Snowflake data warehouses and data marts.

• Build and maintain ETL/ELT workflows using Snowflake-native features (Snowpipe, Streams, Tasks).

• Integrate Snowflake with cloud platforms (AWS, Azure, GCP) and third-party tools (Airflow, dbt, Informatica)

• Utilize Snowpark and Python/Java for complex transformations

• Implement RBAC, data masking, and row-level security.

• Optimize data storage and retrieval for performance and cost-efficiency.

• Collaborate with stakeholders to gather data requirements and deliver solutions.

• Ensure data quality, governance, and compliance with industry standards.

• Monitor, troubleshoot, and resolve data pipeline and performance issues.

• Document data architecture, processes, and best practices.

• Support data migration and integration from various sources.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• 3 to 4 years of hands-on experience in data engineering or data services.

• Proven experience with AWS data services (e.g., S3, Glue, Redshift, Lambda).

• Strong expertise in Snowflake architecture, development, and optimization.

• Proficiency in SQL and Python for data manipulation and scripting.

• Solid understanding of ETL/ELT processes and data modeling.

• Experience with data integration tools and orchestration frameworks.

• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• AWS Glue, AWS Lambda, Amazon Redshift

• Snowflake Data Warehouse

• SQL & Python

Skills: Aws Lambda, AWS Glue, Amazon Redshift, Snowflake Data Warehouse

Must-Haves

AWS data services (4-6 years), Snowflake architecture (4-6 years), SQL (proficient), Python (proficient), ETL/ELT processes (solid understanding)

Skills: AWS, AWS lambda, Snowflake, Data engineering, Snowpipe, Data integration tools, orchestration framework

Relevant 4 - 6 Years

python is mandatory

******

Notice period - 0 to 15 days only (Feb joiners’ profiles only)

Location: Kochi

F2F Interview 7th Feb

Experience Level:

Senior (8+ years)

Job Description:

We are seeking a detail-oriented and highly skilled Senior Salesforce QA Engineer to lead quality 

assurance efforts for our Salesforce platform. This role demands expertise in testing Salesforce 

applications, configurations, and integrations to ensure exceptional quality standards. The ideal 

candidate will have a strong background in Salesforce testing, automation frameworks, and crossfunctional collaboration.

Key Responsibilities:

Test Strategy and Planning:

• Design and implement comprehensive QA strategies tailored to Salesforce ecosystems, 

including Sales Cloud, Service Cloud, Marketing Cloud, and custom solutions.

• Develop detailed test plans, cases, and scripts based on business and functional requirements.

Testing Execution:

• Conduct manual and automated testing for Salesforce customizations, Lightning components, 

integrations, and third-party applications.

• Execute functional, regression, smoke, system, and integration tests.

Automation Development:

• Build and maintain automated test suites using tools like Selenium, Provar, or other Salesforcecompatible automation tools.

• Integrate test automation into CI/CD pipelines in collaboration with the development team.

Defect Management:

• Identify, document, and track defects using tools like Jira or Azure DevOps.

• Work closely with developers to resolve issues and ensure product quality.

Collaboration and Leadership:

• Mentor junior QA team members, sharing best practices for Salesforce testing.

• Act as a QA representative in Agile ceremonies such as sprint planning, stand-ups, and 

retrospectives.

Quality Metrics and Reporting:

• Define and monitor QA metrics, reporting progress and quality insights to stakeholders.

• Ensure compliance with Salesforce best practices and organizational standards.

Primary Skills:

• Strong knowledge of Salesforce functionalities, Lightning Experience, and declarative features.

• Proven experience with manual and automated testing in Salesforce environments.

• Proficiency in test automation tools like Selenium, Provar, or TestNG.

Secondary Skills:

• Familiarity with Salesforce-specific challenges, such as Governor Limits and SOQL queries.

• Basic knowledge of Apex and Visualforce.

• Experience with test management tools (e.g., TestRail or Zephyr) and CI/CD platforms (e.g., 

Jenkins, GitLab)

DA DS Trainer JD:

Key Responsibilities:

Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.

Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.

Conduct classroom, online, and one-on-one training sessions for students at different skill levels.

Evaluate students' performance and progress, providing feedback and support to help them improve.

Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.

Collaborate with other trainers and industry experts to continuously improve training content and methodologies.

Assist in the development of training schedules and manage training logistics.

Provide mentorship and career guidance to students aspiring to build a career in data science.

Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.

Proven experience as a Data Science Trainer or a similar role.

In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.

Excellent presentation and communication skills.

Strong organizational and time-management abilities.

Ability to simplify complex concepts and deliver them in an understandable manner.

Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.

Preferred Skills:

Experience with LMS (Learning Management Systems) and e-learning platforms.

Strong analytical and problem-solving skills.

Ability to adapt training methods to different learning styles.

Passion for continuous learning and professional development.

Benefits:

Competitive salary and performance-based incentives.

Professional development opportunities.

Flexible working hours.

Collaborative and innovative work environment.

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

KEY RESPONSIBILITIES

• Design, build, and maintain high-performance, reusable, and reliable code. 
• Can work solely or as a team player for existing and upcoming projects. 
• Ability to work independently and within a team  
• Understanding of the Software Development Life cycle. 
• Good understanding of object-oriented design principles 

SKILLS AND EXPERIENCE

• At least 3 yrs. of experience in .NET Core, Angular & MVC
• At least 3 yrs. of experience in MS SQL Server  
• Expert in Angular, Web APIs
• Knowledge of object-oriented programming, SOLID principles, and design patterns
• Excellent problem-solving skills  
• Must communicate in English effectively  
• Analyze the existing codebase
• Design and implement solutions

POSITION: BUSINESS DEVELOPMENT EXECUTIVE

Company Name: Inmakes Infotech Pvt Ltd

Location: Cochin

Job Type: Full-time, Permanent

Experience: 0 to 3 Years

Salary: From INR 12,000 to 20,000 Per Month

No. of vacancy: 10+

Candidates must need Tele calling experience.

EdTech and banking field sales experience is an added advantage.

Required Skills (Technical Competency):

• Solid understanding of Object-Oriented Design and Programming.
• Hands-on experience in Software development in C# [Desktop Applications].
• Strong expertise in OOPS, basic design skills.
• Experience in C#, Winforms is must,
• Knowledge in PRISM, MVVM, LinQ.
• Expertise in multi-threaded programming.
• Strong logical and analytical skills.
• Experience of software development process.
• Expertise in development, testing and debugging skills.
• Knowledge of design patterns and its usage and tools like Visio.
• Experience in UML, SOLID.
• Experience in unit testing frameworks like NUnit.
• Expertise in troubleshooting bugs and finding solutions.
• Strong abstraction, analytical and problem-solving skills.
• Working with multisite teams, Quality conscious and Process Oriented.

• Achieving Stretched Targets In A Result-Focused Environment.
• Making Powerful Sales Presentations Resulting In High Conversion Ratio.
• Handling Objections And Resolving Member/ Customer Conflicts By Constantly Connecting With Them Through Member Meetings.
• Maintaining Strong Client Relationship And High Level Of Customer Service.
• Preparing Pre-Sales Proposals For Prospective Clients.
• Identifying Potential Customers And New Business Opportunities Within And Outside The Venue.
• Keeping Abreast With The Organization's Products And Services.
• Maintaining Consistent Average Productivity.
• Provide Necessary Support In Booking First Time Holiday For New Members And Generate Quality Referrals From Them.
• Qualifications -1 To 5 Years' Quota Carrying Sales Experience
• Experience And Working Knowledge Of CRM Systems
• Demonstrable Track Record Of Over-Achieving Quota
• Strong Written And Verbal Communication Skills