Engineering Manager

Responsibilities:

• Handle customer inquiries and provide pre-sales support
• Prepare quotations, proposals, and basic technical documents
• Coordinate with sales, engineering, logistics, and accounts teams
• Conduct product demos and explain product features
• Follow up on leads and maintain customer interaction records
• Support sales team with daily reporting and documentation

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

Dear Candidate!

Greetings from Suventure!

Hope you are doing well!

I am reaching out to you regarding a Job Opportunity with Suventure Services Pvt. Ltd. – a Global IT Services, Products and Platforms company based in India with operations in USA, Netherlands, Canada and Denmark.

The position we have for our inhouse project.

Required Skills:

• Experience with React JS and Redux.
  • A background in building JavaScript UI applications, with a strong understanding of UI frameworks and paradigms available including concepts like asynchronous programming, closures, types, and ES6.
  • HTML/CSS experience, including concepts like layout, specificity, cross-browser compatibility, and accessibility
  • Experience with browser APIs and optimizing front-end performance. Understand the full web technology stack, e.g. HTML, CSS, HTTP, cookies, headers, asset loading / caching.
  • Have a deep understanding of frontend application structure and architecture
  • Have great customer empathy and appreciate the User’s experience
  • Experience with unit testing, using test frameworks like Jest, Mocha, Enzyme etc.
  • Experience in Web Development end-to-end, from design to release.
  • Experience or aspiration to be a full stack developer(Node.js).

Total Exp: 2.5+yrs

Location : Remote

Wishing you all the best. Looking forward to have you associated with Suventure.

About us:

Suventure is a next generation technology or organization that helps clients use information technology as a business enabler. Suventure strives to be at the forefront of innovation in information technology and outsourcing leveraging IT to provide maximum returns. At Suventure, we would like to be long term partners in our customers" business journey, the journey where destinations keep evolving. As a business partner, Suventure ensures that incremental IT steps in the journey are rewarding and fulfilling. Suventure will remain a trusted knowledgeable friend, partner, and advisor throughout customers" business journey. For more on the company please do visit our website http://www.suventure.in/">www.suventure.in  

Best regards,  
Husnara Shaik

About part time job/internship

Are you a dynamic and goal-oriented individual with excellent communication skills in English, Kannada, and Hindi? Join our team at 101kudos as a Sales intern and gain valuable experience in the fast-paced world of sales and marketing.

Key Responsibilities:

1. Assist the sales team in identifying new business opportunities and generating leads.

2. Conduct market research to identify potential clients and their needs.

3. Communicate effectively with clients in English, Kannada, and Hindi to understand their requirements.

4. Support the sales team in preparing proposals and presentations for clients.

5. Help in maintaining client relationships and ensuring customer satisfaction.

6. Participate in sales meetings and training sessions to develop your sales skills.

7. Collaborate with team members to achieve sales targets and contribute to the overall success of the company.

If you are a self-motivated individual with a passion for sales and a strong proficiency in English, Kannada, and Hindi, we want to hear from you! Apply now and take the first step towards a rewarding career in sales with 101kudos.

About 101kudos

101Kudos is your go-to source for comprehensive business solutions. We offer a wide range of services designed to drive growth, innovation, and success. Our expertise includes Marketing Agency services, Business Consultancy, Real Estate advisory, B2B connections, and Freelance solutions. We take pride in creating personalized strategies to meet each client's unique needs, ensuring optimal results and sustainable growth. Whether you want to boost your marketing efforts, streamline your business operations, explore real estate opportunities, establish valuable B2B connections, or access top-tier freelance talent, 101Kudos is here to help your business excel. Get in touch with us today to unlock your business's full potential with our expert services.

• A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

• Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
• Mentor and coach other team members
• Evaluate the performance of NLP models and ideate on how they can be improved
• Support internal and external NLP-facing APIs
• Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

• Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

Strong analytical and problem-solving capabilities.

• Proven ability to multi-task and deliver results within tight time frames
• Must have strong verbal and written communication skills
• Strong listening skills and eagerness to learn
• Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

• NLP
• Deep Learning
• Machine Learning
• Python
• Bert

Preferred Requirements

• Experience in Computer Vision is preferred

Overview:

Role: Software Development - Other

Industry Type: IT Services & Consulting

Department: Engineering - Software & QA

Role Category: Software Development

Responsibilities

• Hands-on developer who can breakdown a large/complex problem, quickly

derive an efficient design, document and implement the core framework.

• Demonstrated appreciation for code performance, scalability, and extensibility.

• Understands big picture/business cases behind individual requirements and attempts to

offer lower cost solutions.

• Oversees requirement, project planning, design reviews, and feature

implementation.

• Develop and maintain effective automated unit test coverage of new and existing code.

• Write quality, testable, maintainable, and well-documented code.

Qualification:

•Ready to relocate to Ahmedabad, Gujarat

•Solid understanding of object-oriented programming (OOP).

•Web API and MVC Framework.

•C# with .NET or .NET Core.

•Good MS SQL experience and database development using T-SQL.

•Familiarity with common developer tools GIT, SVN, or TFS.

• JavaScript frameworks such as jQuery / Angular framework / React js.

•Excellent written and verbal communication skills in English.

Key Skills

• Angular

• MVC Framework

• CSS

• .Net

• JavaScript

• HTML

• JavaScript Framework

Perks and Benefits

• Rewards and Recognition.

• Flexible working hours.

• Exposure to international market

• 💰  Early-stage, ed-tech, funded, growing, growing fast.
• 🎯  Mission Driven: Make Indonesia competitive on a global scale.
• 🥅  Build the best educational content and technology to advance STEM education 
• 🥇  Students-First approach

• ❤️  Love what we do
• 🎮  Committed to making learning fun, accessible, and safe 
• 🤝  Teams are better. We value ownership, responsibility, transparency
• 🌏  Global, diverse backgrounds. Been there, done that.

• CoLearn has grown so much, and you’ve been an important part of the growth. You solved hard problems that many didn’t know existed.
• You’ve led the data science function and laid out the roadmap, implemented best practices, and grown the team. You’ve executed mission-critical projects. Congratulations!
• You’re exploring what Data Science can do for the students, parents, teachers, educators.
• You’ve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
• The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. It’s their second nature.
• You have an encyclopedic knowledge of CoLearn’s data structures and metrics, and you’ve often provided key ideas for the product.

• Highly-skilled and experienced Data Scientist and leader
• You are interested in creating next-gen data-powered education tech products. 
• You’ve worked in a Data Science role before where you took a data product to market
• You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
• You’ve built platforms and systems from scratch
• You have a track record of developing and deploying data-science models to production

• End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps) — with both structured and unstructured data.
• Deep Learning and Computer Vision models, ideally in a production environment
• Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc. 
• Experience in Scala/Java/Go/C/C++ is a plus plus
• Airflow/Luigi/Oozie and the likes
• Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale

• B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
• 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
• Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teams 
• Experience developing a data science strategy, building the roadmap, and leading the execution
• Track record of recruiting talent in analytics and data science

• You’ve won algorithm and machine learning competitions such as ACM and Kaggle
• You have research publications and citations in top tier journals 
• You have a portfolio of side projects and can show it to us