- 3+ years of experience in designing digital products.
- Ability to understand short and long-term goals of the product and business.
- Excellent understanding of user-centred design and visual design principles.
- A good understanding of frontend principles to guide the team from an engineering point of view.
- Understanding of behavioural analytics and goes by data-driven decisions, when needed.
- Excellent communication and presentation skills and the ability to clearly articulate design decisions to the team and leadership.
- Keen interest in applying user research, user-needs validation and usability evaluation.
- Self-driven, comfortable with a fast-paced, always user-focused.
- A portfolio that showcases experience creating visual UI systems involved in overall creative direction down to icon systems, transitions, etc.
- Extensive knowledge and understanding of web and mobile platforms (iOS, Android design guidelines as well as their limitations

About makeO
About
Toothsi is a company that offers at-home smile makeover services. The company was established in 2018. The company has brilliantly expanded its operations throughout India, and as a result, it is responsible for more than one million happy customers.
Together with our more than one hundred in-house dental specialists, our carefully picked in-house orthodontists each have more than ten years of experience working in the aligner industry. This ensures that when customers use Toothsi, customer is selecting the finest option available. Toothsi is a group of people that are well qualified in their fields and have years of experience. We collaborate with orthodontists that have worked in the field for more than ten years and developed more than one hundred thousand smiles, as well as planners, world-class technicians, and customer service specialists.
A better life starts with a beautiful smile with ToothSi
Connect with the team
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Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data
OVERVIEW
We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.
The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.
CORE TECHNICAL REQUIREMENTS
Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.
SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.
Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.
Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.
WHAT YOU WILL BUILD
Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.
Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.
Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.
Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.
Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.
DOMAIN EXPERIENCE
Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.
Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.
High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.
ENGINEERING STANDARDS
Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.
Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.
Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.
Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.
TECHNICAL ENVIRONMENT
PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.
WHAT WE ARE LOOKING FOR
Attention to Detail: You notice when something is slightly off and investigate rather than ignore.
Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.
Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.
Long-Term Orientation: You build systems you will maintain for years.
Communication: You document clearly, explain data issues to non-engineers, and surface problems early.
EDUCATION
University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.
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Knowledge of layouts, graphic fundamentals, typography, print, and the web
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Compelling portfolio of work over a wide range of creative projects
Strong analytical skills
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Camera Handling would be a plus point.
job description
Create and design various materials for print and digital collateral
Developing brand strategy and providing creative concepts and designs
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Create short videos to highlight, recap, and promote various endeavors and events
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About Us
Working at Auxesis Infotech Pvt Ltd is an opportunity to collaborate with some of the brightest minds in our region. With an emphasis on interactive and creative engagement, we have continued to better help the companies we serve to make a difference in their communities with an improved digital and interactive experience.
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- Good level understanding of jQuery & integrated modules.
- Should have a working knowledge of databases preferably MySql.
- Working understanding of HTML5, CSS
- Self-reliant in Coding and Solving complex algorithms.
- Should have a positive attitude and be a good team player
- Should possess excellent communication and interpersonal skills
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- knowledge in documentation is an added advantage Responsibilities and Duties
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- 5 days working
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We are looking for an ambitious and energetic Business Development Manager to help us expand our clientele. You will be the front of the company and will have the dedication to create and apply an effective sales strategy.
The goal is to drive sustainable financial growth through boosting sales and forging strong relationships with clients.
Responsibilities
Develop a growth strategy focused both on financial gain and customer satisfaction
Conduct research to identify new markets and customer needs
Arrange business meetings with prospective clients
Promote the company’s products/services addressing or predicting clients’ objectives
Prepare sales contracts ensuring adherence to law-established rules and guidelines
Keep records of sales, revenue, invoices etc.
Provide trustworthy feedback and after-sales support
Build long-term relationships with new and existing customers
Develop entry level staff into valuable salespeople
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• Working Knowledge of XML, JSON, Shell and other DBMS scripts
• Hands on Experience on Oracle 11G,12c. Working knowledge of Oracle 18 and 19c
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Software Development Life Cycle (SDLC).
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• Knowledge of REST Services, UTL functions, DBMS functions and data integration is required
• Good knowledge on table level partitions, row locks and experience in OLTP.
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Great opportunity to work in Roots Innovations Pvt.ltd., We simplify the RPA (Robotic Process Automation) platform with AI-powered Bots to manage business processes & compliance for all types of industry sectors.
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Good understanding of Reviewing query performance and optimizing code.
Designing and coding database tables to store the application’s data.
Creating database triggers, stored procedures & functions.
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