Functional Analyst

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.

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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.

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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

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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 Description

Overview:

We are seeking an experienced Azure Data Engineer to join our team in a hybrid Developer/Support capacity. This role focuses on enhancing and supporting existing Data & Analytics solutions by leveraging Azure Data Engineering technologies. The engineer will work on developing, maintaining, and deploying IT products and solutions that serve various business users, with a strong emphasis on performance, scalability, and reliability.

Must-Have Skills:

Azure Databricks

PySpark

Azure Synapse Analytics

Key Responsibilities:

• Incident classification and prioritization
• Log analysis and trend identification
• Coordination with Subject Matter Experts (SMEs)
• Escalation of unresolved or complex issues
• Root cause analysis and permanent resolution implementation
• Stakeholder communication and status updates
• Resolution of complex and major incidents
• Code reviews (Per week 2 per individual) to ensure adherence to standards and optimize performance
• Bug fixing of recurring or critical issues identified during operations
• Gold layer tasks, including enhancements and performance tuning.
• Design, develop, and support data pipelines and solutions using Azure data engineering services.
• Implement data flow and ETL techniques leveraging Azure Data Factory, Databricks, and Synapse.
• Cleanse, transform, and enrich datasets using Databricks notebooks and PySpark.

• Orchestrate and automate workflows across services and systems.
• Collaborate with business and technical teams to deliver robust and scalable data solutions.
• Work in a support role to resolve incidents, handle change/service requests, and monitor performance.
• Contribute to CI/CD pipeline implementation using Azure DevOps.

Technical Requirements:

• 4 to 6 years of experience in IT and Azure data engineering technologies.
• Strong experience in Azure Databricks, Azure Synapse, and ADLS Gen2.
• Proficient in Python, PySpark, and SQL.
• Experience with file formats such as JSON and Parquet.
• Working knowledge of database systems, with a preference for Teradata and Snowflake.
• Hands-on experience with Azure DevOps and CI/CD pipeline deployments.
• Understanding of Data Warehousing concepts and data modeling best practices.
• Familiarity with SNOW (ServiceNow) for incident and change management.

Non-Technical Requirements:

• Ability to work independently and collaboratively in virtual teams across geographies.
• Strong analytical and problem-solving skills.
• Experience in Agile development practices, including estimation, testing, and deployment.
• Effective task and time management with the ability to prioritize under pressure.
• Clear communication and documentation skills for project updates and technical processes.

Technologies:

• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• PySpark / SQL
• Azure Data Lake Storage (ADLS), Blob Storage
• Azure DevOps (CI/CD pipelines)

Nice-to-Have:

• Experience with Business Intelligence tools, preferably Power BI
• DP-203 certification (Azure Data Engineer Associate) 

NOTE -

Weekly rotational shifts -

11am to 8pm

2pm to 11pm

5pm to 2 am

P.S. - In any one weekend they should be available in call. If there is any issues alone they should work on that. there will be on call support monthly once.

#HiringAlert

We are looking " Oracle Forms & Reports Developer " for Reputed Client @ Permanent Role.

Work Experience: 8+ yrs.

Must Have Skills

1.Experience in Oracle Forms and Reports

2. Should be familiar with various triggers, events, canvas, master child forms, record groups, build-ins, properties etc., in Forms and reports.

3.Experience in SQL / PLSQL concepts

4. Experience in writing Procedure / Function / Packages Datatypes, Constraints, index

5.Experience in the user of Cursors / Collections / Exception handlingGood to Have Skills

1.Experience in production support and troubleshooting will be an added advantage.

2. Having exposure to JavaScript and ReactJS will be an added advantage.Key Responsibilities

1.Participate in meetings / discussions for business requirements.

2.Ensuring Documentation and on time delivery of the development works

3.Coordinate with business user for UAT support and resolutions

4.Provide weekly / monthly development and support status report.Professional Attributes

1.Should be able to work independently with minimal supervision.

2.Should be willing to work in EST timing based on project requirements.

3.Communication should be excellent as the position requires direct interaction with business users from the US.

Educational Qualification: B. E, B. TECH, master’s or Any graduation

Location : Chennai

Selling products and services using solid arguments to prospective customers

Performing cost-benefit analyses of existing and potential customers

Maintaining positive business relationships to ensure future sales

chieve agreed upon sales targets and outcomes within schedule

Coordinate sales effort with team members and other departments

Analyze the territory/market’s potential, track sales and status reports

Supply management with reports on customer needs, problems, interests,

Dori AI enables enterprises with AI-powered video analytics to significantly increase human productivity and improve process compliance. We leverage a proprietary full-stack end-to-end computer vision and deep learning platform to rapidly build and deploy AI solutions for enterprises. The platform was built with enterprise considerations including time-to-value, time-to-market, security, and scalability across a range of use cases. Capture visual data across multiple sites, leverage AI + Computer Vision to gather key insights, and make decisions with actionable visual insights. Launch CV applications in a matter of weeks that are optimized for both cloud and edge deployments.

Job brief: Sr. Software Engineer/Software Engineer

All of our team members are expected to learn, learn, and learn! We are working on cutting-edge technologies and areas of artificial intelligence that have never been explored before. We are looking for motivated software engineers with strong coding skills that want to work on problems and challenges they have never worked on before. All of our team members wear multiple hats so you will be expected to simultaneously work on multiple aspects of the products we ship.

Responsibilities

• Participate heavily in the brainstorming of system architecture and feature design
• Interface with external customers and key stakeholders to understand and document design requirements
• Work cross-functionally with Engineering, Data Science, Product, UX, and Infrastructure teams
• Drive best coding practices across the company (i.e. documentation, code reviews, coding standards, etc)
• Perform security, legal, and license reviews of committed code
• Complete projects with little or no supervision from senior leadership

Required Qualifications

• Built and deployed customer-facing services and products at scale
• Developed unit and integration tests
• Worked on products where experimentation and data science are core to the development
• Experience with large-scale distributed systems that have thousands of microservices and manages millions of transactions per day
• Solid instruction-level understanding of Object Oriented design, data structures, and software engineering principles
• Must have at least 4+ years of experience in back-end web development with the following tools: Python, Flask, FastAPI, AWS or Azure, GCP, Java or C/C++, ORM, Mongo, Postgres, TimescaleD, CI/CD

Desired Experience/Skills

• You have a strong background in software development 
• Experience with the following tools: Google Cloud Platform, Objective C/Swift, Github, Docker
• Experience with open-source projects in a startup environment
• BS, MS, or Ph.D. in Computer Science, Software Engineering, Math, Electrical Engineering, or other STEM degree

Job Summary
We are looking for a PHP Developer responsible for managing back-end services and the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

• Minimum experience should be 5 years.
• Strong knowledge of PHP frameworks (such as OpenCart, Zend)
• Advance understanding of front-end technologies, such as JavaScript & JS based frameworks like jquery.

• Understanding of MVC design patterns.

• Good hands on in integrating payment API's and CRM software development.

• Preference for experience on rest API's.

• Proficient understanding of code versioning tools, such as Git.

We are looking for a skilled React.js Developer to join our front-end development team. In this role, you will be responsible for developing and implementing user interface components using React.js concepts and workflows such as Redux, Flux, and Webpack. You will also be responsible for profiling and improving front-end performance and documenting our front-end codebase.

To ensure success as a React.js Developer, you should have in-depth knowledge of JavaScript and React concepts, excellent front-end coding skills, and a good understanding of progressive web applications. Ultimately, a top-class React.js Developer should be able to design and build modern user interface components to enhance application performance.

HATSU is a mumbai based design studio, and we work in the field of furniture, lights and rug design. we are coming up with a store for our products and we require a store manager for the same.

Responsibilities

• Drive customer service excellence to every aspect of the store, including store appearance, display of merchandise, product placement, story layout, and selling procedures
• Ensure strategic goals and sales targets of the store are met by maximizing sales and gross profit, reviewing sales performance, controlling expenses, and managing inventory
• Hire, train, develop, and supervise staff
• Provide staff with feedback, coaching, and performance evaluations
• Coordinate daily staffing and staffing schedules
• Ensure the store complies with outlined safety policies and proceduces, as well as state and local health regulations
• Make sure wages, work hours, and equal employment opportunities are upheld according to federal and state laws
• Perform administrative tasks to support the smooth operation of all store operations, including the timely submission of all personnel paperwork, preparing and submitting reports, and monitoring sales receipts and cash
• Monitor stock and inventory, and perform quality assurance of merchandise on a regular basis

Qualifications

• Minimum Graduation or equivalent education.
• 1 years of retail sales required; retail management experience and a college degree preferred
• Excellent organizational, time management, prioritization, and multitasking skills
• Experience with interviewing, hiring and evaluating candidates, and assessing employee performance
• Basic math skills sufficient to complete orders, calculate inventory, and manage cash registers
• Ability to reach overhead, bend, squat, kneel, and carry products in order to perform and cover all workfloor duties
• Able to give clear directions and set expectations for staff
• Demonstrated ability to lead by example