Require Assistant Sales Managet/Sales Manager/AGM for Karnal location

ey Responsibilities:

• Design, develop, and maintain microservices using Java (Spring Boot).
• Implement RESTful APIs and ensure integration with front-end and third-party services.
• Work with AWS services such as EC2, ECS, Lambda, S3, RDS, API Gateway, CloudWatch, etc.
• Utilize CI/CD pipelines (Jenkins / GitHub Actions / AWS CodePipeline) for deployment automation.
• Implement security, scalability, and high availability best practices in microservice architecture.
• Collaborate with DevOps, QA, and Product teams to deliver robust solutions.
• Monitor and troubleshoot production issues using AWS CloudWatch / ELK / Prometheus & Grafana.
• Participate in code reviews, design discussions, and agile ceremonies.

Required Skills & Qualifications:

• Strong proficiency in Java 8+, Spring Boot, Spring Cloud, and RESTful APIs.
• Solid understanding of microservices architecture and service discovery / communication patterns (Eureka, Feign, Ribbon, etc.).
• Hands-on experience with AWS Cloud (ECS, Lambda, API Gateway, RDS, DynamoDB, S3, CloudFormation).
• Experience with Docker and Kubernetes for containerization and orchestration.
• Proficient in RDBMS / NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiar with CI/CD pipelines, Git, and DevOps best practices.
• Knowledge of message brokers (Kafka, RabbitMQ, SQS) is a plus.
• Strong debugging, problem-solving, and analytical skills.

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

About Hudson Data

At Hudson Data, we view AI as both an art and a science. Our cross-functional teams — spanning business leaders, data scientists, and engineers — blend AI/ML and Big Data technologies to solve real-world business challenges. We harness predictive analytics to uncover new revenue opportunities, optimize operational efficiency, and enable data-driven transformation for our clients.

Beyond traditional AI/ML consulting, we actively collaborate with academic and industry partners to stay at the forefront of innovation. Alongside delivering projects for Fortune 500 clients, we also develop proprietary AI/ML products addressing diverse industry challenges.

Headquartered in New Delhi, India, with an office in New York, USA, Hudson Data operates globally, driving excellence in data science, analytics, and artificial intelligence.

⸻

About the Role

We are seeking a Data Analyst & Modeling Specialist with a passion for leveraging AI, machine learning, and cloud analytics to improve business processes, enhance decision-making, and drive innovation. You’ll play a key role in transforming raw data into insights, building predictive models, and delivering data-driven strategies that have real business impact.

⸻

Key Responsibilities

1.⁠ ⁠Data Collection & Management

• Gather and integrate data from multiple sources including databases, APIs, spreadsheets, and cloud warehouses.

• Design and maintain ETL pipelines ensuring data accuracy, scalability, and availability.

• Utilize any major cloud platform (Google Cloud, AWS, or Azure) for data storage, processing, and analytics workflows.

• Collaborate with engineering teams to define data governance, lineage, and security standards.

2.⁠ ⁠Data Cleaning & Preprocessing

• Clean, transform, and organize large datasets using Python (pandas, NumPy) and SQL.

• Handle missing data, duplicates, and outliers while ensuring consistency and quality.

• Automate data preparation using Linux scripting, Airflow, or cloud-native schedulers.

3.⁠ ⁠Data Analysis & Insights

• Perform exploratory data analysis (EDA) to identify key trends, correlations, and drivers.

• Apply statistical techniques such as regression, time-series analysis, and hypothesis testing.

• Use Excel (including pivot tables) and BI tools (Tableau, Power BI, Looker, or Google Data Studio) to develop insightful reports and dashboards.

• Present findings and recommendations to cross-functional stakeholders in a clear and actionable manner.

4.⁠ ⁠Predictive Modeling & Machine Learning

• Build and optimize predictive and classification models using scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and H2O.ai.

• Perform feature engineering, model tuning, and cross-validation for performance optimization.

• Deploy and manage ML models using Vertex AI (GCP), AWS SageMaker, or Azure ML Studio.

• Continuously monitor, evaluate, and retrain models to ensure business relevance.

5.⁠ ⁠Reporting & Visualization

• Develop interactive dashboards and automated reports for performance tracking.

• Use pivot tables, KPIs, and data visualizations to simplify complex analytical findings.

• Communicate insights effectively through clear data storytelling.

6.⁠ ⁠Collaboration & Communication

• Partner with business, engineering, and product teams to define analytical goals and success metrics.

• Translate complex data and model results into actionable insights for decision-makers.

• Advocate for data-driven culture and support data literacy across teams.

7.⁠ ⁠Continuous Improvement & Innovation

• Stay current with emerging trends in AI, ML, data visualization, and cloud technologies.

• Identify opportunities for process optimization, automation, and innovation.

• Contribute to internal R&D and AI product development initiatives.

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Required Skills & Qualifications

Technical Skills

• Programming: Proficient in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, H2O.ai).

• Databases & Querying: Advanced SQL skills; experience with BigQuery, Redshift, or Azure Synapse is a plus.

• Cloud Expertise: Hands-on experience with one or more major platforms — Google Cloud, AWS, or Azure.

• Visualization & Reporting: Skilled in Tableau, Power BI, Looker, or Excel (pivot tables, data modeling).

• Data Engineering: Familiarity with ETL tools (Airflow, dbt, or similar).

• Operating Systems: Strong proficiency with Linux/Unix for scripting and automation.

Soft Skills

• Strong analytical, problem-solving, and critical-thinking abilities.

• Excellent communication and presentation skills, including data storytelling.

• Curiosity and creativity in exploring and interpreting data.

• Collaborative mindset, capable of working in cross-functional and fast-paced environments.

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Education & Certifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• Master’s degree in Data Analytics, Machine Learning, or Business Intelligence preferred.

• Relevant certifications are highly valued:

• Google Cloud Professional Data Engineer

• AWS Certified Data Analytics – Specialty

• Microsoft Certified: Azure Data Scientist Associate

• TensorFlow Developer Certificate

⸻

Why Join Hudson Data

At Hudson Data, you’ll be part of a dynamic, innovative, and globally connected team that uses cutting-edge tools — from AI and ML frameworks to cloud-based analytics platforms — to solve meaningful problems. You’ll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.

Job Overview:

We are looking for Tech Lead to join our Engineering team and lead all stages of the software product development life cycle. This will include analyzing system and user requirements, designing software flowcharts, writing clean Java code, troubleshooting bugs, and running tests to improve system functionality. If you are a person who has proficiency in Java technologies, good analytical skills, the ability to design software systems and anticipate issues, and frame remedial actions with excellent teamwork skills; We would like to speak to you

Responsibilities:

1. Design, develop, scale, and maintain backend services in Java
2. Collaborate with the engineering and product team to discuss project definitions and goals.
3. Work on individual priorities, deadlines, and deliverables.
4. Improve reliability, scalability, observability, and security of the backend systems.
5. Write simple, efficient, and maintainable code
6. Function well in a fast-paced, rapidly changing environment
7. Ensuring best coding standards and practices to improve and maintain quality.

Requirements:

8. Bachelor/Master degree in CS or related field from a reputed college
9. Sound knowledge of Java technologies.
10. Solid grip on the programming basics like DS and algorithms, OOPS.
11. Experience with software design and application programming
12. Understanding & experience with software design patterns, restful APIs, and microservice architecture
13. Experience with software design and application programming
14. Strong debugging skills
15. Exposure to CI/CD and Test-Driven Development
16. Nice to have are Unix / Linux, database SQl / NoSQL, Java Spring, working knowledge on scripting (Perl, Shell Scripting).

Description

We're seeking a qualified and motivated Business Development Executive who is responsible for developing the sales team.

As a remote worker, building good customer relationships, and closing deals for our annual car and bike subscription products.

Auto mechanics is a growing company that prides itself on the quality of its products and the commitment to customer satisfaction.

Our team is passionate about what we do and we strive to achieve excellence in every aspect of the business. The successful

candidate will be an integral part of our dynamic team and will be responsible for driving our growth through effective sales strategies.

Requirement & Skills

Develop a growth strategy focused both on financial gain and customer satisfaction

Communication and negotiation skills

Proven sales track record

Ability to build rapport

Experience: 1 - 3 years

Job Location: Work from home

Selection process:- HR round & Manager round

Qualification: BA in business administration or a related field/Graduation

Working days: 6 working days (Sundays off)

Shifts: 10:00am - 7:00pm

Mandatory language: English

Midas is a fintech company that specializes in building state-of-the-art technological solutions for algorithmic trading, investments, and analytics for global financial markets. Headquartered in Mumbai, Midas aims to establish a strong presence in GIFT City (Gandhinagar), London, New York, and Singapore in the near future.

Our team consists of highly motivated and skilled individuals who serve sophisticated clients across various segments, including affluent individuals, high-net-worth individuals, ultra-high net-worth individuals, family offices, and institutions. We offer an excellent platform for personal and professional development within a highly committed and collaborative team in a mission-driven and results-oriented environment.

1. The ideal candidate should possess expert-level knowledge in technologies such as JavaScript, TypeScript, Node JS, MongoDB, Redis, Linux servers, and networking protocols (TCP and UDP). This includes understanding how to use these technologies to develop and deploy backend systems, as well as troubleshooting and optimizing them.
2. Proficient in automation technology, the candidate should be able to optimize existing infrastructure, identify and implement design patterns, and understand data structures and algorithms. This includes an ability to evaluate and recommend new technologies that can improve the performance and scalability of the system.
3. The candidate should be familiar with version control and project management tools such as GIT, JIRA, etc. and be able to use them effectively to manage and collaborate on code development.
4. Strong understanding of multithreading and multiprocessing concepts, and the ability to make tweaks and optimizations in similar domains for the purpose of improving performance and scalability.
5. Understanding of clustering and load balancing, including the ability to design and implement solutions that can improve the availability and scalability of the system.
6. Understanding of cyber security protocols and their application in the development and deployment of backend systems. This includes knowledge of best practices for securing systems, as well as the ability to identify and mitigate potential security threats.
7. Ability to implement CI/CD pipelines when needed. This includes an understanding of the various steps involved in creating, testing, and deploying code, as well as knowledge of the tools and technologies used to automate these processes.
8. Familiarity with tools such as NGINX or HAProxy and understanding how they can be used to improve the performance and scalability of the system.
9. Eagerness to learn and upgrade skills as per the demands of the product. This includes an ability to stay current with new technologies and best practices in the field, as well as a willingness to continuously improve one's own skills.
10. Proven experience in the industry and ability to work in a fast-paced environment. The candidate should have a solid understanding of the financial markets and the technology used to support them.
11. Strong problem-solving and analytical skills, ability to work independently and as part of a team. The candidate should be able to identify and solve complex problems and work effectively with others to achieve common goals.
12. Strong communication and interpersonal skills. The candidate should be able to effectively communicate with both technical and non-technical stakeholders, and work well in a team environment.

Indium Software is a technology solutions company committed to delivering exceptional, customer-centric solutions across Big Data Engineering & Analytics, Blockchain Development, Independent QA and Gaming.

Our Digital Solutions focus on offering Big Data Engineering, Advanced Analytics, Blockchain Development, and Product Development services.

Our Big Data Solutions team also has expertise in Cloud environments on AWS, Google Cloud, Microsoft Azure, and integration with Real-time data management solutions.

We operate through our registered offices in the Bay Area, New Jersey, Atlanta, and Kuala Lumpur. Our Global Delivery centers are located in Bangalore and Chennai, India.

Experience: Min 4 years of relevant experience. 

Lead ReactJs Developer

Required Skills:

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Experience in Node.js (sails.js or express.js or next.js) is mandatory.
• Familiarity with newer specifications of EcmaScript
• Experience with data structure libraries (e.g., Immutable.js)
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools such as Git, SVN, and Mercurial
• Good communication skills and ability to work as an individual contributor

Responsibilities:

• Developing new user-facing features using React.js (Flux/ Redux) and backend functionality
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high-quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
• Mentoring developers