Linux L3 Core Services

Quality Control & Assurance: - Implement and monitor quality standards for raw rice, semi-processed, and finished rice. - Conduct quality checks for grain length, moisture, purity, color, foreign matter, broken %, and aroma. - Oversee grading, sorting, polishing, and packing operations to maintain product consistency. - Approve final batches before dispatch according to contract specifications and market requirement

 7–10 years’ experience in rice mill operations or rice export industry. • Experience with color sorters (e.g., Satake, Buhler), polishers, and graders preferred. • Performance KPIs • Batch rejection rate • Customer complaint rate • Yield efficiency and grain breakage rate • Consistency in final product quality 

 Strong knowledge of Basmati / Non-Basmati rice grades and processing standards. • Understanding of milling parameters, moisture control, and storage practices. • Ability to identify defects and troubleshoot production issues. • Good communication and team management skills. 

About the Role

Hudson Data is looking for a Senior / Mid-Level SQL Engineer to design, build, optimize, and manage our data platforms. This role requires strong hands-on expertise in SQL, Google Cloud Platform (GCP), and Linux to support high-performance, scalable data solutions.

We are also hiring Python Programers / Software Developers / Front end and Back End Engineers

Key Responsibilities:

1.⁠Develop and optimize complex SQL queries, views, and stored procedures

• Build and maintain data pipelines and ETL workflows on GCP (e.g., BigQuery, Cloud SQL)
• 
  
• Manage database performance, monitoring, and troubleshooting
• 
  
• Work extensively in Linux environments for deployments and automation
• 
  
• Partner with data, product, and engineering teams on data initiatives

Required Skills & Qualifications

Must-Have Skills (Essential)

• Expert GCP mandatory
• 
  
• Strong Linux / shell scripting mandatory
• 
  

Nice to Have

• Experience with data warehousing and ETL frameworks
• 
  
• Python / scripting for automation
• 
  
• Performance tuning and query optimization experience

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.

Education & Certifications

• Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Masters degree in Data Analytics, Machine Learning, or Business Intelligence preferred.

⸻

Why Join Hudson Data

At Hudson Data, youll 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. Youll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.

Overview

Adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

We are looking for an experienced Backend and Data Developer with expertise in Java, SQL, BigQuery development working on public clouds, mainly GCP. As a Senior Data Developer, you will play a vital role in designing, building, and maintaining robust systems to support our data analytics. This position offers the opportunity to work on complex services, collaborating closely with cross-functional teams to drive successful project delivery.

Responsibilities:

Development and maintenance of data pipelines and automation scripts with Python.

Creation of data queries and optimization of database processes with SQL.

Use of bash scripts for system administration, automation and deployment processes.

Database and cloud technologies.

Managing, optimizing and querying large amounts of data in an Exasol database (prospectively Snowflake).

Google Cloud Platform (GCP): Operation and scaling of cloud-based BI solutions, in particular.

Composer (Airflow): Orchestration of data pipelines for ETL processes.

Cloud Functions: Development of serverless functions for data processing and automation.

Cloud Scheduler: Planning and automation of recurring cloud jobs.

Cloud Secret Manager: Secure storage and management of sensitive access data and API keys.

BigQuery: Processing, analyzing and querying large amounts of data in the cloud.

Cloud Storage: Storage and management of structured and unstructured data.

Cloud monitoring: monitoring the performance and stability of cloud-based applications.

Data visualization and reporting.

Creation of interactive dashboards and reports for the analysis and visualization of business data with Power BI.

Requirements:

Minimum of 4-6 years of experience in backend development, with strong expertise in BigQuery, Python and MongoDB or SQL.

Strong knowledge of database design, querying, and optimization with SQL and MongoDB and designing ETL and orchestration of data pipelines.

Expierience of minimum of 2 years with at least one hyperscaler, in best case GCP.

Combined with cloud storage technologies, cloud monitoring and cloud secret management

Excellent communication skills to effectively collaborate with team members and stakeholders.

Nice-to-Have:

Knowledge of agile methodologies and working in cross-functional, collaborative teams.

Skills & Requirements

SQL, BigQuery, GCP, Python, MongoDB, Exasol, Snowflake, Bash scripting, Airflow, Cloud Functions, Cloud Scheduler, Cloud Secret Manager, Cloud Storage, Cloud Monitoring, ETL, Data Pipelines, Power BI, Database Optimization, Cloud-Based BI Solutions, Data Processing, Data Automation, Agile Methodologies, Cross-Functional Collaboration.

We are seeking a highly driven Senior Sales Manager to drive enterprise level sales for our SaaS-based solutions related to Supply Chain Management solutions across India and APAC. The ideal candidate should have a strong background in selling SAP solutions like AP/AR or similar enterprise SaaS products related to Spend management, with an experience handling a minimum deal size of $30,000 or more. You will be responsible for end-to-end sales ownership, including lead generation, deal closure, and relationship management. 

Required Skills & Qualifications: 

✔ 5-15 years of experience in B2B SaaS sales / SAP solution sales / ERP sales / enterprise software sales. 

✔ Proven track record in selling high-ticket SaaS solutions ($30,000+ per deal). 

✔ Deep understanding of Supply Chain Management (SCM) software & workflows. 

✔ Strong experience in India and Asia-Pacific markets with regional business knowledge. 

✔ Strong experience in solution selling, consultative sales, and enterprise account management. 

✔ Ability to lead negotiations, handle objections, and close complex deals. 

✔ Excellent communication, presentation, and stakeholder management skills. 

• Extensive experience in designing, building & supporting Azure Managed Services Operations.
• Good understanding of Azure IaaS and PaaS services (Azure VMs, App Service, VM Scale set, Storage, Web App, Function App, Logic App, SQL instance, Data factory, Key vault, API management service etc.).
• Good understanding of Azure networking, vNet, NSG, various load balancing services, VPN, Express Route and firewalls in cloud environment.
• Knowledge on Cloud Adoption Framework.
• Hands on Experience in migration of various workloads to Azure from on-prem sources like VMware, Hyper-V, Physical Servers and from other Clouds.
• Knowledge of Azure Backups and ASR (Azure Site Recovery).
• Strong Knowledge on Containerization and Orchestration (Docker, Kubernetes, AKS).
• Powershell Scripting, Azure CLI, ARM templates writing, setup automation for resources provisioning and other IaC tools like terraform, Ansible is an added advantage.
• Knowledge on Azure automation and Automation Desire State Configuration.
• Knowledge on Azure Devops or GIT Actions on CI/CD pipeline configuration.
• Strong experience in configuring, maintaining, and troubleshooting Microsoft based production systems.
• Aspire to learn and be able to pick up latest technical advances in Azure and be able to implement it.
• Certificate on Azure Administrator & Azure Architect has added advantage.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• Responsible for assisting in the establishment of an IT Architecture practice, and the adoption of an architecture and standards methodology.
• Manages activities that take place during solution ideation, solution design, and solution implementation.
• Reviews business context for solutions to company challenges as well as defining the vision and requirements for the solution, recommending potential options, (which may include RFIs, RFPs or prototype development), selecting the most optimal option, and the development of a roadmap for the selected solution.
• Communicates the architecture to the stakeholders and collaborates and coordinates with existing domain architects in the formalization and adoption of IT standards and procedures.
• Champions a structured approach to business application solutions.
• Directly assists in the development of a solutions architecture program including departmental roadmaps and project portfolios for IT systems architecture.
• Assures solutions not only are a fit for the specific purpose but also closely align with the standards guidelines of technology solutions.
• Influences changes to standards when necessary.
• Assists domain architecture team on solutions management and timing of financial spend for application solutions.
• Supports the architectural aspects of all application projects in peer IT portfolios.
• Directs the identification and recommendation of appropriate solutions, upgrades, replacements, or decommissioning options incorporating business and technology productivity, usability, and total cost of ownership.
• Develops and executes solutions which further reduce the percentage of time spent on reactive work.
• Provides analysis of security protection technologies as necessary.

[Work Hours & Benefits] Discuss the working hours and benefits specific to your company here. The best performing job descriptions inform future solution architects about flexible hours, the ability to work from home, or other telecommuting opportunities. And they highlight unique benefits, like conference sponsorships, continuing education credits, or paid time off.

Responsibilities:

• Design and build beautiful UI using the Angular framework
• Work closely with the UX and visual design team to build a highly engaging UI that predicts and exceeds user expectations
• Work closely with product management team to understand user needs; participate in process definition and technology selection to ensure appropriate testing of UIs
• Develop the UI using HTML5, CSS, and JavaScript to create great product experiences
• Build RESTful APIs that interface with the Cohesity backend systems
• Develop and Debug end to end from UI to the backend

Requirements:

• 3+ years of engineering experience with a proven track record of building high performance consumer web applications or services.

• good exposure in front end ui frameworks like reactjs, angular.

• thorough knowledge of html, css and javascript.

• very good analytical and problem solving skills.

• Willingness to constantly learn and if you are looking for ways to improve yourself and the processes around you.

• experience working in an agile team environment and are a self-starter, conscientious member of the team.

• passion to code, but also you’re awesome at it!

• Attention to detail

• Analytical mind and problem-solving aptitude
• Experience working with a startup will be a plus.