
Assisting the development manager with all aspects of software design and coding.
Attending and contributing to company development meetings.
Learning the codebase and improving your coding skills.
Writing and maintaining code.
Working on minor bug fixes.
Monitoring the technical performance of internal systems.
Responding to requests from the development team.
Gathering information from consumers about program functionality.
Writing reports.
Conducting development tests.
Required Skills
- Knowledge of basic coding languages including C++, HTML5, and JavaScript.
- Basic programming experience.
- Knowledge of databases and operating systems.
- Good working knowledge of email systems and Microsoft Office software.
- Ability to learn new software and technologies quickly.
- Ability to follow instructions and work in a team environment.
- Detail-oriented.

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Key Responsibilities
● Design & Development
○ Architect and implement data ingestion pipelines using Microsoft Fabric Data Factory (Dataflows) and OneLake sources
○ Build and optimize Lakehouse and Warehouse solutions leveraging Delta Lake, Spark Notebooks, and SQL Endpoints
○ Define and enforce Medallion (Bronze–Silver–Gold) architecture patterns for raw, enriched, and curated datasets
● Data Modeling & Transformation
○ Develop scalable transformation logic in Spark (PySpark/Scala) and Fabric SQL to support reporting and analytics
○ Implement slowly changing dimensions (SCD Type 2), change-data-capture (CDC) feeds, and time-windowed aggregations
● Performance Tuning & Optimization
○ Monitor and optimize data pipelines for throughput, cost efficiency, and reliability
○ Apply partitioning, indexing, caching, and parallelism best practices in Fabric Lakehouses and Warehouse compute
● Data Quality & Governance
○ Integrate Microsoft Purview for metadata cataloging, lineage tracking, and data discovery
○ Develop automated quality checks, anomaly detection rules, and alerts for data reliability
● CI/CD & Automation
○ Implement infrastructure-as-code (ARM templates or Terraform) for Fabric workspaces, pipelines, and artifacts
○ Set up Git-based version control, CI/CD pipelines (e.g. Azure DevOps) for seamless deployment across environments
● Collaboration & Support
○ Partner with data scientists, BI developers, and business analysts to understand requirements and deliver data solutions
○ Provide production support, troubleshoot pipeline failures, and drive root-cause analysis
Required Qualifications
● 5+ years of professional experience in data engineering roles, with at least 1 year working hands-on in Microsoft Fabric
● Strong proficiency in:
○ Languages: SQL (T-SQL), Python, and/or Scala
○ Fabric Components: Data Factory Dataflows, OneLake, Spark Notebooks, Lakehouse, Warehouse
○ Data Storage: Delta Lake, Parquet, CSV, JSON formats
● Deep understanding of data modeling principles (star schemas, snowflake schemas, normalized vs. denormalized)
● Experience with CI/CD and infrastructure-as-code for data platforms (ARM templates, Terraform, Git)
● Familiarity with data governance tools, especially Microsoft Purview
● Excellent problem-solving skills and ability to communicate complex technical concepts clearly
NOTE: Candidate should be willing to take one technical round F2F from any of the branch location. (Pune/ Mumbai/ Bangalore)
Anali Enterprises LLP is a startup in food retail. We market and retail all-purpose chilli oils under the brand name Hotchaa!
www.hotchaa.com
hotchaa_official
Roles and Responsibilities:
1) Managing Inventory and Stock movement
2) Tracking Sales from different channels
3) Order Management for trade and managing receivables
4) Data Analysis
5) Liasing with accounting team to present brand financials
6) Setting up accounting processes in house
Skills:
1) English speaking
2) Passionate to work in a startup ecosystem
3) Quick learner
4) Proficient in Microsoft Suite
Job Description
We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.
What You’ll Do will include (But not limited to):
- Preparing datasets needed to train and validate our machine learning models
- Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
- Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
- Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
- Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
- Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
- Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
- Supporting solutions ranging from rule-bases, classical ML techniques to the latest deep learning systems.
- Partnering with cross-functional team members to bring large scale data engineering solutions to production
- Communicating your approach and results to a wider audience through presentations
Your Qualifications:
- Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
- Good knowledge of traditional machine learning methods and neural networks
- Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
- Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
- Ability to implement data import, cleansing and transformation functions at scale
- Fluency in Docker, Kubernetes
- Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
- Solid English skills to effectively communicate with other team members
Due to the nature of the role, it would be nice if you have also:
- Experience with large datasets and distributed computing, especially with the Google Cloud Platform
- Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
- Experience with No–SQL and Graph databases
- Experience working in a Colab, Jupyter, or Python notebook environment
- Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
- Knowledge of Java, Scala or Go-Lang programming languages
- Familiarity with KubeFlow
- Experience with transformers, for example the Hugging Face libraries
- Experience with OpenCV
About Egnyte
In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com
#LI-Remote
We at BlackPapers Sarthies (P) Ltd. Have an opening for Sales Executive (Business Growth Consultant) at our Delhi Office Located , at (office -404/402, C- 25 Bartwals, Guru Nanak Pura, Laxmi Nagar, Delhi-110092.)
We provide Business Management Consultancy Services related to Compliance, Management and Fundings to NGOs and Business like 12A, 80G, project reports, FCRA etc. (for more visit to our website www.blackpapers.in).
Job Description
We are looking for a passionate Sales Executive (Business Growth Consultant) to join our sales team and a passion for sales. The sales Executive's Responsibilities include generating leads, making sales calls, continuously updating our CRM database, and meeting sales targets. To be successful as a sales executive you should be an inspired self-starter and able to drive sales growth. Ultimately, a top- notch sales executive should be able to build reports with customers and close sales.
Roles and Responsibilities -
1.Setting up sales team and Developing sales strategies.
Researching prospects and Generating leads.
2.Contacting potential and Existing customers on the phone, by email, and in person.
3. Handling Customer queries, and complaints.
4. Preparing and sending quotes and proposals.
5.Managing the sales process through specific software programs.
6. Building and Maintaining a CRM database.
7. Daily Meeting, weekly, and Monthly Sales targets. And diligently working towards achieving the sales target.
8. Participating in sales team meetings.
Qualifications
1. Any Bachelor's Degree /Post Graduation(preferred).
2.Freshers And Experienced both preferred.
Other Skills
1.Objection and Rejection Handling.
2.Build and maintain strong and long-lasting customer relationships.
3.Provide after-sales support and resolve customer issues.
4. Knowledge of Compliances( preferable).
About Voiceoc
Voiceoc is a Delhi based Startup that is established with an aim to help healthcare companies globally offer unprecedented & personalized experience to their patients by bringing their services on WhatsApp using our very own Hybrid Intelligent System (HIS), which is a contextual combination of artificial & human intelligence.
Today, Voiceoc is trusted by leading healthcare companies of India & GCC including Max Healthcare, SRL, Aster Healthcare etc. and prominent investors of India & USA.
Responsibilities Include (but not limited to):
We are looking for a candidate who has 2-3 years of experience working in a B2B SAAS company as a ‘Client Success Associate’. The responsibilities include:
- Act as a Techno-Functional Consultant and maximize adoption of Voiceoc
- Assist & train Clients to use the system to its full extent and help them to resolve their support queries
- Increase overall retention and do in-depth analysis to create up-sell/cross-sell opportunities
- Gathering Client feedback and sharing it internally to improve the product and/or establish better Support practices
- Analyzing Client data and helping them discover aspects of the product that are most beneficial to them
- Communicate effectively with both internal and external senior-level management to understand customer needs, maximize retention and growth, and communicate learnings
- Carrying out periodic health checks to avoid churn
- Keeping Clients updated on new features, and new products they might find useful
- Encouraging Client advocacy through feedback, external reviews, case studies, testimonials, and referrals
- Upselling and cross-selling through review of Clients’ progress
Job Description:
We are looking for an Android developer who possesses a passion for pushing mobile technologies to the limits. This Android app developer will work with our team of talented engineers to design and build the next generation of our mobile application, Android programming works closely with other app development and technical teams.
Join our company if you are willing to work with us and need to learn good technology and healthy work culture.
If you have the desire to be a part of an exciting, challenging and rapidly-growing software development company, and if you are passionate about software development and creating the finest apps in the marketplace.
Freshers with an attitude to learning are welcome to apply.
Roles & responsibilities
Development and maintenance of Android applications
Monitoring app performance and taking necessary steps to fix the bugs in the applications
Documenting version history and changelog for mobile applications
Doing research and coming up with new ideas for app development
Requirements:
- Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes.
- Familiarity with Restful APIs to connect Android applications to back-end services.
- Strong knowledge of Android UI design principles, patterns, and best practices.
- Experience with offline storage, threading, and performance tuning.
- Ability to design applications around natural user interfaces, such as touch.
- Knowledge of the open-source Android ecosystem and the libraries available for common tasks.
- Ability to understand business requirements and translate them into technical requirements.
- Familiarity with cloud message APIs and push notifications.
- A knack for benchmarking and optimization.
- Understanding of Google's Android design principles and interface guidelines.
- Proficient understanding of code versioning tools.
- Must know about java, Kotlin, MVC, MVVM, Firebase, SQLite, and payment gateways.
HTML, CSS, Javascript, UI Prototyping, Photoshop, Illustrator, Corel Draw, Adobe
Must Knowledge of Adobe XD.
Experience: 3-5 Years Experience
. 3.5+ years of work experience on React.JS framework
· Has expertise in following front- end optimization techniques:
· Lazy Loading
· Asynchronous Module Definition
· Image Compression and Minification
· Other front-end tooling using Grunt / Webpack and NPM
· Familiarity with NodeJS, Jasmine / Karma and other unit testing frameworks
· Foundation data structure – Arrays, dictionaries, sets and lists
· Proficient in evaluating front end performance and measure accordingly
· Strong appetite to learn industry trends and new & emerging technologies
The mission of R&D IT Design Infrastructure is to offer a state-of-the-art design environment
for the chip hardware designers. The R&D IT design environment is a complex landscape of EDA Applications, High Performance Compute, and Storage environments - consolidated in five regional datacenters. Over 7,000 chip hardware designers, spread across 40+ locations around the world, use this state-of-the-art design environment to design new chips and drive the innovation of company. The following figures give an idea about the scale: the landscape has more 75,000+ cores, 30+ PBytes of data, and serves 2,000+ CAD applications and versions. The operational service teams are globally organized to cover 24/7 support to the chip hardware design and software design projects.
Since the landscape is really too complex to manage the traditional way, it is our strategy to transform our R&D IT design infrastructure into “software-defined datacenters”. This transformation entails a different way of work and a different mind-set (DevOps, Site Reliability Engineering) to ensure that our IT services are reliable. That’s why we are looking for a DevOps Linux Engineer to strengthen the team that is building a new on-premise software defined virtualization and containerization platform (PaaS) for our IT landscape, so that we can manage it with best practices from software engineering and offer the IT service reliability which is required by our chip hardware design community.
It will be your role to develop and maintain the base Linux OS images that are offered via automation to the customers of the internal (on-premise) cloud platforms.
Your responsibilities as DevOps Linux Engineer:
• Develop and maintain the base RedHat Linux operating system images
• Develop and maintain code to configure and test the base OS image
• Provide input to support the team to design, develop and maintain automation
products with playbooks (YAML) and modules (Python/PowerShell) in tools like
Ansible Tower and Service-Now
• Test and verify the code produced by the team (including your own) to continuously
improve and refactor
• Troubleshoot and solve incidents on the RedHat Linux operating system
• Work actively with other teams to align on the architecture of the PaaS solution
• Keep the Base OS image up2date via patches or make sure patches are available to
the virtual machine owners
• Train team members and others with your extensive automation knowledge
• Work together with ServiceNow developers in your team to provide the best intuitive
end-user experience possible for the virtual machine OS deployments
We are looking for a DevOps engineer/consultant with the following characteristics:
• Master or Bachelor degree
• You are a technical, creative, analytical and open-minded engineer that is eager to
learn and not afraid to take initiative.
• Your favorite t-shirt has “Linux” or “RedHat” printed on it at least once.
• Linux guru: You have great knowledge Linux servers (RedHat), RedHat Satellite 6
and other RedHat products
• Experience in Infrastructure services, e.g., Networking, DNS, LDAP, SMTP
• DevOps mindset: You are a team-player that is eager to develop and maintain cool
products to automate/optimize processes in a complex IT infrastructure and are able
to build and maintain productive working relationships
• You have great English communication skills, both verbally as in writing.
• No issue to work outside business hours to support the platform for critical R&D
Applications
Other competences we value, but are not strictly mandatory:
• Experience with agile development methods, like Scrum, and are convinced of its
power to deliver products with immense (business) value.
• “Security” is your middle name, and you are always challenging yourself and your
colleagues to design and develop new solutions as security tight as possible.
• Being a master in automation and orchestration with tools like Ansible Tower (or
comparable) and feel comfortable with developing new modules in Python or
PowerShell.
• It would be awesome if you are already a true Yoda when it comes to code version
control and branching strategies with Git, and preferably have worked with GitLab
before.
• Experience with automated testing in a CI/CD pipeline with Ansible, Python and tools
like Selenium.
• An enthusiast on cloud platforms like Azure & AWS.
• Background in and affinity with R&D











