Inside Sale Team Leader

Job description

Opportunity to work on cutting-edge tech pieces & build from scratch

Ensure seamless performance while handling large volumes of data without system slowdowns

Collaborate with cross-functional teams to meet business goals

Required Skills:

Frontend: ReactJS (Next.js must)

Backend: Exp in Node.js, Python, or Java

Databases: SQL (must), MongoDB (nice to have)

Caching & Messaging: Redis, Kafka, or Cassandra exp

Cloud certification is a bonus

DataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.

About the Role:

As a Data Scientist specializing in Google Cloud, you will play a pivotal role in driving data-driven decision-making and innovation within our organization. You will leverage the power of Google Cloud's robust data analytics and machine learning tools to extract valuable insights from large datasets, develop predictive models, and optimize business processes.

Key Responsibilities:

• Data Ingestion and Preparation:
• Design and implement efficient data pipelines for ingesting, cleaning, and transforming data from various sources (e.g., databases, APIs, cloud storage) into Google Cloud Platform (GCP) data warehouses (BigQuery) or data lakes (Dataflow).
• Perform data quality assessments, handle missing values, and address inconsistencies to ensure data integrity.
• Exploratory Data Analysis (EDA):
• Conduct in-depth EDA to uncover patterns, trends, and anomalies within the data.
• Utilize visualization techniques (e.g., Tableau, Looker) to communicate findings effectively.
• Feature Engineering:
• Create relevant features from raw data to enhance model performance and interpretability.
• Explore techniques like feature selection, normalization, and dimensionality reduction.
• Model Development and Training:
• Develop and train predictive models using machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks) on GCP platforms like Vertex AI.
• Evaluate model performance using appropriate metrics and iterate on the modeling process.
• Model Deployment and Monitoring:
• Deploy trained models into production environments using GCP's ML tools and infrastructure.
• Monitor model performance over time, identify drift, and retrain models as needed.
• Collaboration and Communication:
• Work closely with data engineers, analysts, and business stakeholders to understand their requirements and translate them into data-driven solutions.
• Communicate findings and insights in a clear and concise manner, using visualizations and storytelling techniques.

Required Skills and Qualifications:

• Strong proficiency in Python or R programming languages.
• Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Dataproc, and Vertex AI.
• Familiarity with machine learning algorithms and techniques.
• Knowledge of data visualization tools (e.g., Tableau, Looker).
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Experience with cloud-native data technologies (e.g., Apache Spark, Kubernetes).
• Knowledge of distributed systems and scalable data architectures.
• Experience with natural language processing (NLP) or computer vision applications.
• Certifications in Google Cloud Platform or relevant machine learning frameworks.

Job Title: Microsoft Dynamics Solution Architect

Job Summary

We are looking for an experienced Microsoft Dynamics Solution Architect to design, lead, and deliver scalable solutions using Microsoft Dynamics (D365). The ideal candidate will have strong functional and technical expertise across Dynamics modules, with the ability to translate business requirements into robust system architecture.

Key Responsibilities

• Lead end-to-end solution architecture for Microsoft Dynamics 365 (CRM/ERP) implementations
• Work closely with business stakeholders to understand requirements and design optimal solutions
• Define system architecture, integrations, and data flow between Dynamics and other enterprise systems
• Provide technical leadership to development and functional teams
• Ensure best practices in design, performance, security, and scalability
• Review customizations, plugins, workflows, and integrations
• Support pre-sales activities, solution proposals, and client presentations
• Conduct solution reviews, risk assessments, and provide mitigation strategies
• Stay updated with the latest Microsoft Dynamics features and roadmap

Required Skills & Qualifications

• Strong experience with Microsoft Dynamics 365 (CRM, CE, or F&O)
• Deep understanding of Dynamics architecture, customization, and configuration
• Hands-on experience with Power Platform (Power Apps, Power Automate)
• Expertise in integrations (Azure, APIs, Logic Apps, etc.)
• Experience with data migration and system upgrades
• Strong knowledge of Microsoft ecosystem (Azure, Office 365, Dataverse)
• Excellent problem-solving and stakeholder management skills

Preferred Qualifications

• Microsoft Dynamics certifications (Solution Architect Expert preferred)
• Experience working on large-scale enterprise implementations
• Knowledge of DevOps, CI/CD pipelines, and ALM practices
• Exposure to industry domains like Banking, Healthcare, Government, etc.

Product Based Client:

A multinational technology and e-commerce company based in the United States is widely recognized as one of the world's largest online retailers. In addition to e-commerce, it is a major player in cloud computing through its cloud services division and has expanded into areas such as streaming services, artificial intelligence, and smart devices.

Essential Job Functions:

Top 3 responsibilities

• Taking for operational work.

• Monitoring data pipelines.

• Addressing/Triaging customer tickets

Qualifications:

Exp: 1+ Years

• Skillset:Core Java, Data Structures, Al

Responsible for performing full-cycle recruiting functions including but not limited to job understanding, candidate sourcing, social networking, phone screening, email communication, documentation, summary writing and presentation.

Identifying right candidates with the right skills to match the US clients’ requirements Regularly interacting with Account Manager to understand the requirements

Should understand the requirement in depth to ensure quality sourcing and recruiting

Should ensure to revert submit profiles with quick turnaround time for timely submissions to meet sharp deadlines for each requisition

Make use of effective resourcing strategies, such as head hunting, Internet sourcing, networking, employee referrals

Must have experience on full Life Cycle of Recruiting (screening resumes, interviewing, offer extension and post-placement care)

Ability to work as a good team player, Maintaining & building the candidate database

Requirements:

Minimum 2 Years of Full Cycle Recruiting experience particularly in pharmaceutical /scientific/life science domain for US staffing and recruiting industry.

Excellent English language skills including reading, writing and speaking.

Ability to communicate fluently with foreign nationals.

Self-motivated, passionate and energetic professionals.

Comfortable to work in night shift (6.30PM to 3.30AM IST)

Hashtag Labs is looking for MERN stack developer who is an expert in MongoDB, Express, React and Node. He/she should be proficient in JavaScript and use HTML, CSS and JavaScript to handle front-end operations and JavaScript with Node.js to handle back-end operations.

Roles and Responsibilities:-

• Ability to translate Wireframes into functional web apps.
• Binding of UI elements to JavaScript object models
• Creating RESTful services with Node.js
• MERN stack developer must have proven experience in front & back-end development
• Work in a cross-functional team to deliver a complete user experience
• React.JS NodeJS developer must know MongoDB, Express, Node.js, & React.
• Create Unit and Integration tests to ensure the quality of code
• Be responsive to change requests and feature requests
• Write code that is cross-platform and cross-device compatible
• MERN full stack developer must have the ability to wear many hats and learn new technologies quickly
• For MERN stack developer job, candidate must have good Knowledge of Node Debugging
• Understanding & proficiency in REST APIs.
• MERN stack developers should know Git Repository and Jira.
• Integration of data storage solutions [RDBMS, NoSQL DB]

Experience: 2+ years

Job Location: Lucknow, Uttar Pradesh

Require a Fullstack Developer with the following Skills:

NodesJS + Typescripts+ AWS Lambda + AWS Step Functions as mandatory skill sets

• 3-7 years of hands on experience in mobile app testing - iOS / Android 
• Mobile automation expertise (iOS, Android) using Appium. 
• Experience having automated in an Agile environment. 
• Experience with issue tracking tool (JIRA) and reporting tools. 
• Experience with source code management and build tools - Git, SVN, Maven, Gradle 
• Experience in using Charles Tool / Fiddler 
• Programming language: Java 
• Automation tool: Selenium, Appium 
• Others: Jira, GIT, Maven, Gradle, Bamboo, TestNG 

• Experience working and automating in REST APIs based WS environment. 
• Strong knowledge on current automation trends. 
• Knowledge of Performance testing on mobile applications. 
• Experience with continuous integration using bamboo/Jenkins

• The position is responsible for manages and directs an E-commerce sales force to achieve sales and profit goals.

• Develop ecommerce sales strategies to meet revenue and growth targets
• Implement and utilize analytics to track sales trends and identify opportunities for growth
• Conceptualize digital marketing initiatives, analyze data and measure results
• Partner with brand to leverage all marketing opportunities on platforms like Big basket, Grofers, Flipkart, Swiggy, Amazon, Nykaa etc.
• Create and manage product descriptions for online marketplace platforms
• Pioneer and create new opportunities with ecommerce accounts, identifying white space and marketing opportunities to generate sales
• Build a trust and foster a relationship to be recognized as a premium ecommerce supplier
• Conduct extensive online research, at all times understanding marketing and sales strategies from all major ecommerce retailers
• Actively participate in scheduled internal weekly and annual sales meetings, preparing in advance to share relevant and beneficial information