Security Development Engineer

Job Title: Senior Tableau Developer

Location: Gurgaon

Experience: 4+ Years in retail domain

Salary: Negotiable

Job Summary:

We need a Senior Tableau Developer with a minimum of 4 years to join our BI team. The ideal candidate will be responsible for designing, developing, and deploying business intelligence solutions using Tableau.

Key Responsibilities:

·         Design and develop interactive and insightful Tableau dashboards and visualizations.

·         Optimize dashboards for performance and usability.

·         Work with SQL and data warehouses (Snowflake) to fetch and prepare clean data sets.

·         Gather and analyse business requirements, translate them into functional and technical specifications.

·         Collaborate with cross-functional teams to understand business KPIs and reporting needs.

·         Conduct unit testing and resolve data or performance issues.

·         Strong understanding of data visualization principles and best practices.

Tech. Skills Required:

·         Proficient in Tableau Desktop (dashboard development, storyboards)

·         Strong command of SQL (joins, subqueries, CTEs, aggregation)

·         Experience with large data sets and complex queries

·         Experience working on any Data warehouse (Snowflake, Redshift)

·         Excellent analytical and problem-solving skills.

Mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

Satish: 88O 27 49 743

Full Stack Engineer

Position Description

Responsibilities

• Take design mockups provided by UX/UI designers and translate them into web pages or applications using HTML and CSS. Ensure that the design is faithfully replicated in the final product.

• Develop enabling frameworks and application E2E and enhance with data analytics and AI enablement

• Ensure effective Design, Development, Validation and Support activities in line with the Customer needs, architectural requirements, and ABB Standards.

• Support ABB business units through consulting engagements.

• Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems

• Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns.

• Evaluate the performance of machine learning models and fine-tune them for optimal results.

• Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders.

• Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes.

• Define the solution, Project plan, identifying and allocation of team members, project tracking; Work with data engineers to integrate, transform, and store data from various sources.

• Collaborate with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business objectives and develop data science solutions.

• Prepare clear and concise reports and documentation to communicate results and methodologies.

• Stay updated with the latest data science and machine learning trends and techniques.

• Familiarity with ML Model Deployment as REST APIs.

Background

• Engineering graduate / Masters degree with rich exposure to Data science, from a reputed institution

• Create responsive web designs that adapt to different screen sizes and devices using media queries and responsive design techniques.

• Write and maintain JavaScript code to add interactivity and dynamic functionality to web pages. This may include user input handling, form validation, and basic animations.

• Familiarity with front-end JavaScript libraries and frameworks such as React, Angular, or Vue.js. Depending on the projects, you may be responsible for working within these frameworks

• Atleast 6+ years experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow

• Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis

• Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction.

• Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have.

• Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions

• Good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

Key Responsibilities

Lead Generation & Outreach

·      Contact and develop relationships with potential customers through email marketing, cold calling, and LinkedIn outreach.

·      Execute email campaigns targeting prospects to generate leads and create business opportunities.

·      Mine data and extract information of C-level executives from various online sources and tools.

Sales Process Management

·      Follow up on leads and respond to sales inquiries from existing and potential customers as per guidelines.

·      Assist senior staff in generating and following up on leads.

·      Convince clients, schedule appointments, and manage the sales pipeline.

·      Track sales efforts and monitor results to ensure alignment with targets.

Customer Relationship Management

·      Liaise between customers and the company to provide up-to-date status on service, pricing, and new product releases.

·      Collect customer feedback and conduct market research to inform business strategy and product development.

·      Maintain CRM systems to manage lead generation, track interactions, and store customer information.

Market & Competitor Analysis

·      Stay informed about the latest products, market trends, and competitors to provide insights for business strategy.

·      Increase business opportunities through various routes to market.

Required Skills & Qualifications

·      Strong communication and interpersonal skills.

·      Proficient in email marketing, cold calling, and LinkedIn outreach.

·      Experience in data mining and CRM systems.

·      Ability to prepare detailed reports and commercial proposals.

·      Strong analytical and organizational skills.

·      Ability to work independently and as part of a team.

·      Understanding of market research and customer feedback processes.

Performance Metrics

·      Number of new leads generated.

·      Conversion rate of leads to appointments and sales.

·      Quality and timeliness of proposals and reports.

·      Customer satisfaction and feedback.

·      Sales targets and revenue growth.

• Implement best practices for the engineering team across code hygiene, overall architecture design, testing, and deployment activities
• Drive technical decisions for building data pipelines, data lakes, and analyst access.
• Act as a leader within the engineering team, providing support and mentorship for teammates across functions
• Bachelor’s Degree in Computer Science or equivalent job experience
• Experienced developer in large data environments
• Experience using Git productively in a team environment
• Experience with Docker
• Experience with Amazon Web Services
• Ability to sit with business or technical SMEs to listen, learn and propose technical solutions to business problems

·       Experience using and adapting to new technologies

·       Take and understand business requirements and goals

·       Work collaboratively with project managers and stakeholders to make sure that all aspects of the project are delivered as planned

·       Strong SQL skills with MySQL or PostgreSQL

• Experience with non-relational databases and their role in web architectures desired

 Knowledge and Experience:

• Good experience with Elixir and functional programming a plus

• Several years of python experience
• Excellent analytical and problem-solving skills
• Excellent organizational skills

Proven verbal and written cross-department and customer communication skills