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The ideal candidate for this position will be responsible for lead generation and building a pipeline of top quality prospects. As a manager, the candidate will also be responsible for overseeing personnel in the company's inside sales team. Moreover, the candidate will act as a strategic partner with an eye towards long term sales strategy. 

Key Responsibilities:

1. Lead prospecting. Research on the leads generated and nurture them
2. Follow up, set up calls and demos
3. Understand customer needs and create proposals
4. Conduct competitive research

What we look for?

1. Great communication skills
2. Understanding of tech products and good analytical skills
3. Familiar with email marketing, CRM, and social media tools.
4. Experience in selling Saas products for 1-3 years (must)

Sal range: 3 to 6 LPA

Total Experience (Mandatory):1+ years of B2B Sales / Channel Sales / Partner Management experience in IT Solutions, Training Solutions, Certification Sales, or Technology Services.

Mandatory (Experience 1 – Partner / Channel Sales): Must have experience working with channel partners, system integrators, resellers, or strategic alliances

Mandatory (Experience 2 – Partner-Led Deal Execution): Must have supported or driven partner-led sales cycles, including requirement alignment, proposal coordination, and deal closure

Mandatory (Experience 3 – Business Planning & GTM Execution):Experience creating joint business plans, certification calendars, GTM strategies, and sales campaigns with partners.

Mandatory (Communication & Stakeholder Management): Must be able to coordinate across partners, internal teams, and end customers effectively.

Mandatory (Education Background): Must have a technical or IT-oriented education background —BE / BSc IT / MSc IT is mandatory

Experience: 3-10 Years

Qualification- Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)

Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)

Roles and Responsibilities:

• Must have experience in Microservice architecture with the ability to collaborate effectively with team members and build positive working relationships.
• Design and build and deploy APIs to meet business requirements.
• High level of commitment to business satisfaction and agility.
• Strong work ethic and a passion for the role, with a positive attitude and a willingness to learn.
• Communicate effectively with the tech lead to thoroughly understand the requirements and highlight any blockers immediately.
• Handle programming and software development, including requirement gathering, bug fixing, testing, documenting, and implementation.
• Work in an agile environment to deliver high-quality solutions.
• Understand and implement Security, Logging, Auditing, Policy Management, and Performance Monitoring.
• Familiarity with relational databases (E.g.: Oracle), non-relational databases (E.g.: MongoDB), MSK Kafka, Docker, Kubernetes, and CICD Technologies (Jenkins, GitHub, Maven)

What you’ll be doing

• Lead the development of our platform’s front end.
• Work with the product and design teams along with the founders to build new product features from start to finish: through conception, research, implementation, and maintenance.
• Work closely with founders and internal/external stakeholders to build products, tools, and services from scratch and deliver high-quality software solutions.
• You'll leverage your frontend knowledge to help improve performance and reliability, and polish existing features.
• Share your technical expertise to help the team make thoughtful and scalable design decisions and identify performance bottlenecks to troubleshoot quickly.
• Manage product development priorities, deadlines, and deliverables.
• Ensure high-performant and responsive web applications and websites.

Skills & Qualities we’re looking for

• Bachelor’s/Master’s degree in Computer Science (or equivalent experience).
• 2-4 years of experience as a frontend developer (rare exceptions for highly skilled developers) at a fast-paced, preferably early / growth stage start-up.
• You're familiar with HTML, CSS, Javascript, and a React-like UI framework.
• Knowledge of codebases and version control systems (Git).
• You have experience debugging performance issues with UI in modern browsers across multiple platforms.
• Well-versed with SQL database design & RDBMS concepts.
• Strong arithmetic reasoning, logical and analytical thinking skills.
• Strong knowledge of code quality maintenance and performance analysis.

About the Role:

We are looking for a skilled Full Stack Developer (Python & React) to join our Data & Analytics team. You will design, develop, and maintain scalable web applications while collaborating with cross-functional teams to enhance our data products.

Responsibilities:

• Develop and maintain web applications (front-end & back-end).
• Write clean, efficient code in Python and TypeScript (React).
• Design and implement RESTful APIs.
• Work with Snowflake, NoSQL, and streaming data platforms.
• Build reusable components and collaborate with designers & developers.
• Participate in code reviews and improve development processes.
• Debug and resolve software defects while staying updated with industry trends.

Qualifications:

• Passion for immersive user experiences and data visualization tools (e.g., Apache Superset).
• Proven experience as a Full Stack Developer.
• Proficiency in Python (Django, Flask) and JavaScript/TypeScript (React).
• Strong understanding of HTML, CSS, SQL/NoSQL, and Git.
• Knowledge of software development best practices and problem-solving skills.
• Experience with AWS, Docker, Kubernetes, and FaaS.
• Knowledge of Terraform and testing frameworks (Playwright, Jest, pytest).
• Familiarity with Agile methodologies and open-source contributions.

Data Engineer + Integration engineer + Support specialistExp – 5-8 years

Necessary Skills:· SQL & Python / PySpark

· AWS Services: Glue, Appflow, Redshift

· Data warehousing

· Data modelling

Job Description:· Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services

· A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes

· Work with stakeholders to identify business needs and requirements for data-related projects

Strong SQL and/or Python or PySpark knowledge

· Creating data models that can be used to extract information from various sources & store it in a usable format

· Optimize data models for performance and efficiency

· Write SQL queries to support data analysis and reporting

· Monitor and troubleshoot data pipelines

· Collaborate with software engineers to design and implement data-driven features

· Perform root cause analysis on data issues

· Maintain documentation of the data architecture and ETL processes

· Identifying opportunities to improve performance by improving database structure or indexing methods

· Maintaining existing applications by updating existing code or adding new features to meet new requirements

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Recommending infrastructure changes to improve capacity or performance

Experience in Process industry

Data Engineer + Integration engineer + Support specialistExp – 3-5 years

Necessary Skills:· SQL & Python / PySpark

· AWS Services: Glue, Appflow, Redshift

· Data warehousing basics

· Data modelling basics

Job Description:· Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform.

· A strong understanding of data modelling, data structures, databases (Redshift)

Strong SQL and/or Python or PySpark knowledge

· Design and implement ETL processes to load data into the data warehouse

· Creating data models that can be used to extract information from various sources & store it in a usable format

· Optimize data models for performance and efficiency

· Write SQL queries to support data analysis and reporting

· Collaborate with team to design and implement data-driven features

· Monitor and troubleshoot data pipelines

· Perform root cause analysis on data issues

· Maintain documentation of the data architecture and ETL processes

· Maintaining existing applications by updating existing code or adding new features to meet new requirements

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Identifying opportunities to improve performance by improving database structure or indexing methods

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Recommending infrastructure changes to improve capacity or performance

LogiNext is looking for a technically savvy and passionate Software 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:

Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Requirements:

Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 2 to 3 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Experience of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind

• Experience in .Net Core, MVC framework, WebAPI
• Deep understanding of programming principles and OOPS concepts.
• Strong Coding Discipline
• Comprehensive knowledge on Good Practices, Coding guidelines, General Programming Paradigms
• Excellent verbal communication skills and good interpersonal skills.
• Good experience in Error handling & debugging techniques
• Strong Logical, analytical & problem solving skills
• Ability to build well maintained libraries & tools based on the business needs
• Experience in mentoring the teams and helping them
• Azure / AWS DevOps knowledge is desirable but not a must.