Business Developer Representative

Job Title: Fullstack Developer (MEAN Stack)

Company: Deqode

Type: Full-Time

Experience: 5+ Years

Location: Bangalore, Pune, Gurgaon, Chennai, Bhopal, Jaipur (Hybrid/Onsite as per role)

Notice Period: Immediate Joiners Preferred

About Deqode:

Deqode is a fast-growing digital transformation company that helps businesses adopt cutting-edge technologies to solve complex business problems. We work on innovative projects in blockchain, AI, enterprise software, and cloud-native development.

Role Overview:

We are seeking an experienced Fullstack Developer with strong proficiency in Node.js and Angular, and hands-on experience in Nest.js. The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications using the MEAN stack.

Key Responsibilities:

• Develop and maintain full-stack applications using Node.js, Angular, and Nest.js
• Build robust REST APIs and integrate with frontend interfaces
• Participate in design and architectural discussions
• Write clean, maintainable, and well-documented code
• Collaborate with cross-functional teams to define and deliver solutions
• Optimize applications for maximum performance and scalability
• Ensure quality through unit testing and code reviews

Required Skills:

• Strong expertise in Node.js with experience in backend development, API design, and event-driven architecture
• Proficiency in Angular for creating responsive and performant frontend interfaces
• Mandatory experience with Nest.js, leveraging its modular architecture and TypeScript capabilities
• Experience with MongoDB or similar NoSQL databases
• Excellent problem-solving and communication skills

Team Recruitment and Development: Building and nurturing a dynamic team through effective recruitment strategies and continuous development initiatives.

Operational Oversight: Managing daily operations to ensure efficiency and alignment with company objectives.

Sales and Client Service: Driving sales performance and ensuring exceptional service delivery to clients.

Strategic Planning: Implementing strategies to achieve business objectives and contribute to the company's growth.

Job Domain

Recruitment Industry

Job Description

About the Company: We started this journey of recruitment and staffing in 2017 and did plenty of successful recruitments till now. We have trained, hired, and placed many candidates successfully.

If You want to get flexibility of working from home and you have good communication skills, dedication towards your work and responsibility - apply for Job with us.

If you already have experience of Recruitment - we shall hire you directly for different roles and designation as per your skills - for more details about our work culture - do check out Google & Linkedin Testimonials / reviews of our ex-interns and team members.

If you are looking for bouncing back to work culture after a gap of 8-10 years due to your personal responsibilities - we are here for you to give you training, learning and working opportunities.

Industry: Consultancy Company

Designation: HR Recruiter

Qualification: Graduate

Location: Work from home (WFH)

Experience: 2.5 to 5 years 

Salary Range: 10k to 25k 

Roles & Responsibilities:

• Working on various clients vacancies.
• posting jobs on social media and portals.
• Screening & Sourcing of resumes.
• Conducting Interviews of selected candidates.
• Attending daily review & coordination meeting.
• Training the team members.
• Submitting resumes of candidates to the client/manager.

Required Skill Set:

• Minimum educational requirement is a bachelor's degree.
• Possess a minimum of two years of recruitment experience.
• Demonstrated experience in recruiting candidates for roles in commerce-related fields, including CA, accountants, CS, CMA, and similar professions.
• Strong proficiency in both verbal and written communication.
• Proven ability to meet and exceed assigned recruitment targets.

Must have

• Laptop/Computer
• Good WIFI connection
• Time availability - 8-9hours/day

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

Key Responsibilities:

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
• Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
• Generate clearly understood and intuitive data science / advanced analytics outputs.
• Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
• Participate in best practice sharing and communication platform for advancement of the data science discipline.
• Coach and collaborate with other data scientists and data analysts.
• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
• Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
• Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
• Strong written and verbal communications skills, as well as presentation skills.

Experience in Java (2+ years)

• Experience in SprintBoot(2+years)
• Good Knowledge of Microservice Concept
• Framework: Springboot, Spring Security, JAX-RS, Hystrix, Kafka
• ORM: Spring Data JPA. Hibernate
• Cloud Service: AWS(MSK, S3), Serverless lambda Functions
• Build tools: Maven, Gradle