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Job Description :
We are seeking a highly experienced Sr Data Modeler / Solution Architect to join the Data Architecture team at Corporate Office in Bangalore. The ideal candidate will have 4 to 8 years of experience in data modeling and architecture with deep expertise in AWS cloud stack, data warehousing, and enterprise data modeling tools. This individual will be responsible for designing and creating enterprise-grade data models and driving the implementation of Layered Scalable Architecture or Medallion Architecture to support robust, scalable, and high-quality data marts across multiple business units.
This role will involve managing complex datasets from systems like PoS, ERP, CRM, and external sources, while optimizing performance and cost. You will also provide strategic leadership on data modeling standards, governance, and best practices, ensuring the foundation for analytics and reporting is solid and future-ready.
Key Responsibilities:
· Design and deliver conceptual, logical, and physical data models using tools like ERWin.
· Implement Layered Scalable Architecture / Medallion Architecture for building scalable, standardized data marts.
· Optimize performance and cost of AWS-based data infrastructure (Redshift, S3, Glue, Lambda, etc.).
· Collaborate with cross-functional teams (IT, business, analysts) to gather data requirements and ensure model alignment with KPIs and business logic.
· Develop and optimize SQL code, materialized views, stored procedures in AWS Redshift.
· Ensure data governance, lineage, and quality mechanisms are established across systems.
· Lead and mentor technical teams in an Agile project delivery model.
· Manage data layer creation and documentation: data dictionary, ER diagrams, purpose mapping.
· Identify data gaps and availability issues with respect to source systems.
Required Skills & Qualifications:
· Bachelor’s or Master’s degree in Computer Science, IT, or related field (B.E./B.Tech/M.E./M.Tech/MCA).
· Minimum 4 years of experience in data modeling and architecture.
· Proficiency with data modeling tools such as ERWin, with strong knowledge of forward and reverse engineering.
· Deep expertise in SQL (including advanced SQL, stored procedures, performance tuning).
· Strong experience in data warehousing, RDBMS, and ETL tools like AWS Glue, IBM DataStage, or SAP Data Services.
· Hands-on experience with AWS services: Redshift, S3, Glue, RDS, Lambda, Bedrock, and Q.
· Good understanding of reporting tools such as Tableau, Power BI, or AWS QuickSight.
· Exposure to DevOps/CI-CD pipelines, AI/ML, Gen AI, NLP, and polyglot programming is a plus.
· Familiarity with data governance tools (e.g., ORION/EIIG).
· Domain knowledge in Retail, Manufacturing, HR, or Finance preferred.
· Excellent written and verbal communication skills.
Certifications (Preferred):
· AWS Certification (e.g., AWS Certified Solutions Architect or Data Analytics – Specialty)
· Data Governance or Data Modeling Certifications (e.g., CDMP, Databricks, or TOGAF)
Mandatory Skills
aws, Technical Architecture, Aiml, SQL, Data Warehousing, Data Modelling
Strong Lead Product Designer/ Sr product designer/ Product design manager Profile
Mandatory (Experience 1): Must have a minimum 6+ years of hands-on Product Design experience with product companies
Mandatory (Experience 2): Must have experience leading a team or mentoring junior designers (not a pure people manager)
Mandatory (Design Craft): Strong design craft with deep expertise in UX, interaction design, design systems, prototyping, problem-solving, and user-centered workflows. Should be able to individually assess and elevate design quality.
Mandatory (Collaboration): Proven ability to collaborate closely with Product, Engineering, Research, and cross-functional teams. Must have driven design-led projects, influenced product roadmap, and balanced short-term and long-term design priorities.
Mandatory (Portfolio): Portfolio or team-led work showing shipped, real-world product impact, improved user journeys, solved UX breakage, and scaled design quality across multiple products/features.
Mandatory (Company) - Well funded / Top Product Companies
Mandatory (Note): CTC is not flexible, ESOP can be based on candidate current compensation structure
Mandatory (Role): This is mix role (Team management + Hands-on)\
Preferred
- Build campaign generation services which can send app notifications at a speed of 10 million a minute
- Dashboards to show Real time key performance indicators to clients
- Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds
- Building highly available & horizontally scalable platform services for ever growing data
- Use cloud based services like AWS Lambda for blazing fast throughput & auto scalability
- Work on complex analytics on terabytes of data like building Cohorts, Funnels, User path analysis, Recency Frequency & Monetary analysis at blazing speed
- You will build backend services and APIs to create scalable engineering systems.
- As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions.
- You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.
- Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle.
- Identify and improvise areas of improvement through data insights and research.
- 2-5 years of experience in backend development and must have worked on Java/shell/Perl/python scripting.
- Solid understanding of engineering best practices, continuous integration, and incremental delivery.
- Strong analytical skills, debugging and troubleshooting skills, product line analysis.
- Follower of agile methodology (Sprint planning, working on JIRA, retrospective etc).
- Proficiency in usage of tools like Docker, Maven, Jenkins and knowledge on frameworks in Java like spring, spring boot, hibernate, JPA.
- Ability to design application modules using various concepts like object oriented, multi-threading, synchronization, caching, fault tolerance, sockets, various IPCs, database interfaces etc.
- Hands on experience on Redis, MySQL and streaming technologies like Kafka producer consumers and NoSQL databases like mongo dB/Cassandra.
- Knowledge about versioning like Git and deployment processes like CICD.
JOB DETAILS:
Job Role: Android Developer
Experience: 6-8 years
Location: India (remote)
JOB DESCRIPTION:
1. Handson exp in Kotlin and Android studio
2. Good understanding of Core Java
3. Experience in JSON parsing
4. Experience in REST API
5. Experience in Junit test cases
6. Well versed in Latest Android API version.
7. Experience in publishing apps to the App Store.
8. Social Networking site integration
9. Code version tool – Git and JIRA
10. Architecture understanding - MVVM, MVP
11. Strong analytical and debugging skills/ Unit test coverage
12. Ability to do design and high level architecture
About antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
- Design, build reliable and scalable automated processes for large scale machine learning.
- Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning.
- Collaborate with Business, Technology and Product teams to stand-up MLOps process.
- Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
- Deep dive into complex algorithmic and product issues in production
- Own metrics and reporting for delivery team.
- Set a clear vision for the team members and working cohesively to attain it.
- Mentor and coach team members
Qualifications and Skills:
Requirements
- Engineering degree in any stream
- Has at least 7 years of prior experience in building ML driven products/solutions
- Excellent programming skills in any one of the language C++ or Python or Java.
- Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
- Developed and productized large-scale models/algorithms in prior experience
- Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
- Good verbal, written and presentation skills.
- Ability to learn new skills and technologies.
- 3+ years working with retail or CPG preferred.
- Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
- Manage end to end recruitment activities by sourcing the best talent from diverse sources and handle the entire Talent management right from joining to exit
- Strong network within product companies/startups
- Work with Marketing Team and execute ways to strengthen our brand awareness
- Review and benchmark the internal and external environment to improve HR/Talent Management
- Provide excellent candidate experience at each stage of the hiring process
- Provide Analytical and well-documented reports to the hiring managers.
- 3+ years experience in Product/Start-Up companies is a must
- Ability to network and strong interpersonal skills
- Worked on positions like Data Scientist, Engineering Manager, SDET, DevOps.
- Good track record of conversions
- Excellent Written Communication!
- An open-minded and positive attitude
- Adaptable and able to fit into the work environment of a fast-growing start-up
- Strong sense of ethical responsibility
- Skilled at spreading a good vibe
- Notice Period should be lesser than one month
- Bring in industry best practices around creating and maintaining robust data pipelines for complex data projects with/without AI component
- programmatically ingesting data from several static and real-time sources (incl. web scraping)
- rendering results through dynamic interfaces incl. web / mobile / dashboard with the ability to log usage and granular user feedbacks
- performance tuning and optimal implementation of complex Python scripts (using SPARK), SQL (using stored procedures, HIVE), and NoSQL queries in a production environment
- Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
- Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
- Build data tools to facilitate fast data cleaning and statistical analysis
- Ensure data architecture is secure and compliant
- Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
- Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).
You should be
- Expert in structured and unstructured data in traditional and Big data environments – Oracle / SQLserver, MongoDB, Hive / Pig, BigQuery, and Spark
- Have excellent knowledge of Python programming both in traditional and distributed models (PySpark)
- Expert in shell scripting and writing schedulers
- Hands-on experience with Cloud - deploying complex data solutions in hybrid cloud / on-premise environment both for data extraction/storage and computation
- Hands-on experience in deploying production apps using large volumes of data with state-of-the-art technologies like Dockers, Kubernetes, and Kafka
- Strong knowledge of data security best practices
- 5+ years experience in a data engineering role
- Science / Engineering graduate from a Tier-1 university in the country
- And most importantly, you must be a passionate coder who really cares about building apps that can help people do things better, smarter, and faster even when they sleep
About the Backend Developer
We are looking at a diligent, driven, passionate person for our efforts on engagement and retention of our customers (schools) in a high growth environment. Backend Developer will be the face of the organisation for the schools that are using the platform on a day to day basis. The Developer will interact with the schools via the chat support and email requests and resolve any issues that the schools might be facing in using the platform or extend any support they might be needing to use the platform to its fullest.
- As a Backend Developer, you will play a major role in, developing and deploying high-quality web platforms. In this multifaceted role, you will get the opportunity to work along curriculum experts, teachers, and students, and user-test the product in real school settings.
Preferred Qualifications/Skills
* Frameworks & Technologies: Node.js
* Database: PostgreSQL, SQL
* Tools: Git basics, Scripting basics
* Soft Skills: Having a bias towards action, a good sense of design, empathy, and good communication skills
* Excellent written and oral communication skills
* Great interpersonal skills
About Toddle: ( http://www.toddleapp.com/" target="_blank">www.toddleapp.com )
Understanding PowerApps formulas and development methods. Ability to develop
POWER BI Min 2+ years of hand on experience in POWER BI Reports and dashboard development, MS SSAS, MS SSAS & POWER BI Candidate
Should have hands on experience on writing complex SQL queriesworkflows using PowerApps and Microsoft PowerAutomate.
Customizing SharePoint lists and disparate systems with PowerApps Knowledge of PowerApps and PowerAutomate licensing Automating business processes with Microsoft PowerAutomate.
Automating business processes with Microsoft PowerAutomate.
Ability to create custom connectors for Microsoft PowerAutomate.
Experience with API or rest services integrations.
Understanding of how to implement solutions with multiple data source Understanding PowerApps formulas and development methods




