BI Developer - Looker

Job Summary

We are looking for an experienced Drupal Developer with 5–10 years of expertise in Drupal CMS development, customization, and theming. The ideal candidate should be proficient in Drupal core APIs, custom module development, PHP, and front-end technologies (HTML5, CSS3, JavaScript/jQuery). The role involves building responsive, secure, and scalable web applications while collaborating with cross-functional teams.

Responsibilities

• Design, develop, and maintain Drupal-based websites and applications.
• Build and customize modules, themes, and templates for scalable solutions.
• Ensure responsive, cross-browser, and high-performance applications.
• Collaborate with UI/UX, QA, and backend teams to deliver end-to-end solutions.
• Troubleshoot, debug, and upgrade existing Drupal projects.
• Follow best practices in coding, version control, and security.

Mandatory Skills

• Strong proficiency in Drupal (7/8/9/10) including custom module development, key contributed modules, and Drupal core API.
• Solid knowledge of PHP, theme layer, and template systems.
• Expertise in HTML/HTML5, CSS/CSS3, JavaScript/jQuery for responsive websites.
• Familiarity with version control tools like Git.
• Good understanding of web security, SEO, and performance optimization.

Desired Competencies (Technical/Behavioral Competency)

Must-Have

·       Strong understanding of Kafka concepts, including topics, partitions, consumers, producers, and security.

·       Experience with testing Kafka Connect, Kafka Streams, and other Kafka ecosystem components.

·       API Testing Experience

·       X-RAY and Test Automation Experience

·       Expertise with Postman/SOAP

·       Agile/JIRA/Confluence

·       Strong familiarity such as XML, JSON, CSV, Avro, etc.

·       Strong hands-on SQL, Mongo.

·       Continuous integration and automated testing.

·       Working knowledge and experience of Git.

Good-to-Have

·       Troubleshoot Kafka related issues, Strong in Kafka client configuration and troubleshooting

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Responsibility of / Expectations from the Role

1

Engage with the customer to understand the requirements, provide technical solutions, provide value added suggestions

2

Help build and manage the team of Kafka and Java developers in the near future.

DevOps Lead Engineer

We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.

Essential Requirements (must have):

• Bachelor's degree preferable in Engineering.

• Solid 5+ experience with AWS, DevOps, and related technologies

Skills Required:

Cloud Performance Engineering

• Performance scaling in a Micro-Services environment

• Horizontal scaling architecture

• Containerization (such as Dockers) & Deployment

• Container Orchestration (such as Kubernetes) & Scaling

DevOps Automation

• End to end release automation.

• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.

• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.

• Strong scripting knowledge

• Strong analytical and problem-solving skills.

• Cloud and On-prem deployments

Infrastructure Design & Provisioning

• Infra provisioning.

• Infrastructure Sizing

• Infra Cost Optimization

• Infra security

• Infra monitoring & site reliability.

Job Responsibilities:

• Responsible for creating software deployment strategies that are essential for the successful

deployment of software in the work environment and provide stable environment for delivery of

quality.

• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing

automation systems that help to execute business web and data infrastructure platforms.

• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,

and maintaining configuration management.

• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are

accountable for conducting training sessions for the juniors in the team, mentoring, career

support. They are also answerable for the architecture and technical leadership of the complete

DevOps infrastructure.

Selected intern's day-to-day responsibilities include:

1. Contribute to the preparation of the project plans, layouts, and project elevations, considering aesthetic, functional, and contextual factors and designs for infrastructure projects - such as - residential, apartments, villas, commercial, and all necessary structural aspects of a building

2. Utilize computer-aided design (CAD) software to create detailed technical drawings, blueprints, and construction documents

3. Gather data related to the cost of construction, etc. conduct analysis, and prepare reports to assist in the decision-making process

4. Assist in quality take-offs and cost estimations for materials, Labor, and Equipment required for construction projects

5. Prepare project reports, including written documentation, graphical representation, and presentation to effectively communicate the design proposal

6. Maintain and update city and locality-level data related to construction cost, building codes, zoning regulations, and other relevant information

7. Understand the regulatory requirements (all types of regulations applicable for the project) of each city, document and utilize them appropriately during the design of infrastructure projects

8. Participate in site visits to gain a better understanding of the project context.

What you need to have:

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

Position : Business Development Executive

Role:  The role holder will assist Liquintel with its business development function and will be primarily responsible for signing up new client accounts. Must ensure overall customer's satisfaction and productivity, through efficient supervision of the flow of requirements, timely and quality delivery.

Responsibilities:

• Will be responsible for managing the sales and marketing function and business development process for IT services.
• Build and Collate target customer lists from internet, social media, networking events, personal network, digital marketing and research.
• Reach out to such target customers and track through lead generation to opportunity to deal closure.
• To acquire new corporate clients mainly outside India and meet set monthly goals.
• Establish 1st level connection especially in digital technology, big data and Information Management and cloud. Keep in regular contact with prospects.
• Keep track of market place dynamics and be updated of trends & changes.
• Industry research on companies/sectors that are currently empaneling vendors for Hiring & Staffing.
• Building relationships with New clients/vendors/sub-vendors.
• Prepares proposals / carry our all presales work for qualified opportunities

Desired Profile:

• MBA Marketing
• 6 months to 2 years of experience in business development, sales, marketing and account management for niche technology services companies
• Experience in Lead generation, validation and conversion.
• Experience in managing complex sales cycles in the technology and consulting space.
• Should have inside sales experience as well.
• Exposure working with European countries will be preferred.
• Experience in creating / modifying the service portfolios / collaterals and creating proposals suiting the purpose.
• Experience in Digital marketing will be added advantage.
• Ability to create & make business presentations to senior management.
• Excellent communication skills.
• Self-starter and has good listening skills.
• Self-Motivated, team player, action and results oriented.
• Strong Time Management skills, Well-organized and good reporting skills.
• Maintain fruitful relation with the new or existing clients.
• Possessing Excellent Interpersonal skills.