Ecommerce / Digital Designer (Beauty Brands, Creatives)

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.

The Software Sales Representative is responsible for promoting and selling software products to prospective clients. This includes understanding customer needs, presenting software solutions, managing the sales process, and closing deals. The role requires a mix of technical knowledge, sales skills, and the ability to build lasting relationships with clients.

Key Responsibilities:

1. Sales Prospecting:

• Identify and target potential clients or companies that could benefit from the software solutions.
• Conduct outreach through calls, emails, networking, and events to generate new business opportunities.

1. Customer Needs Analysis:

• Understand client needs and requirements through consultations and meetings.
• Conduct product demos and presentations to showcase how the software meets the client's needs.

1. Sales Presentations & Demonstrations:

• Prepare and deliver presentations and software demonstrations to prospects.
• Customize presentations based on the client’s business goals and technical environment.

1. Negotiation & Closing Deals:

• Negotiate pricing, terms, and contracts with customers.
• Close deals by overcoming objections and addressing customer concerns.

1. Relationship Management:

• Maintain ongoing relationships with existing clients to ensure satisfaction and upsell or renew business.
• Provide post-sales support and troubleshooting as needed to ensure client success.

1. Market Research:

• Stay updated on industry trends, competitors, and the evolving software market.
• Use this knowledge to advise customers on the best solutions and strategies.

1. Reporting & Documentation:

• Track and report sales progress, client interactions, and pipeline status.
• Update CRM systems with accurate sales data, meetings, and communications.

1. Collaboration:

• Work closely with marketing, product development, and customer support teams to align sales strategies with business goals.
• Provide feedback to the product team about client needs and market trends.

Qualifications:

• Education: Bachelor's degree in business, marketing, or a related field (preferred).
• Experience: Proven experience in software sales or technology sales (3-8 years preferred).
• Skills:
• Strong communication and presentation skills.
• Ability to understand and explain technical software concepts.
• Negotiation and closing skills.
• Proficiency with CRM tools and sales tracking software.
• Personal Attributes: Self-motivated, goal-oriented, and able to work independently.
• Technical Knowledge: Familiarity with software products or services relevant to the company’s offerings.

Key Skills Expected:

• C# ASP.NET, MVC, Razor Syntax
• .NET Core, WebAPI
• MS SQL, MySQL, PostgreSQL
• HTML / CSS / Bootstrap, JavaScript, jQuery, Angular (at least one resource should know Angular)
• Microsoft Azure / AWS (would be a big advantage)

Role & Responsibilities

• Looking for an enthusiastic .NET Developer with good hands-on project management and client handling experience.
• Excellent development / technical skills on C# / MVC / .NET / WebAPI / SQL
• Good understanding of version controls – github, Gitlab, SVN
• Ready to explore and take up technically challenging tasks
• Ready to dive in to new technology and frameworks
• Knowledge of React Js or Angular would be an advantageous
• Requirement Analysis / Gap Analysis, Understand the client/user perspective
• Excellent Good Communication ability to Express own view and understanding to client/team
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Company’s perks:

• 5 days working.
• Flexible working hours.
• Modern infrastructure and Friendly environment.
• Paid leaves and other performance bonuses.
• Festivals, birthdays, work anniversary celebrations and company outings

Summary:

The Learner Company is an education start-up that designs personalized learning experiences by integrating them with the best of what technology offers. We are currently building an online learning engine to host adaptive online courses, simulations, and multiplayer games for institutional partners. We are now in the software development stage of the project.

We are looking for a full-stack developer to join our development team. The developer will be responsible for the overall development and implementation of front and back-end software applications. Their responsibilities will extend from designing system architecture to high-level programming, performance testing, and systems integration.

We are looking for an individual who is optimistic about technology and people, is open to and excited by new ideas, and considers themselves a life-long learner.

Responsibilities:

• Meeting with the software development team to define the scope and scale of software projects.
• Designing software system architecture.
• Completing data structures and design patterns.
• Designing and implementing scalable web services, applications, and APIs.
• Developing and maintaining internal software tools.
• Writing low-level and high-level code.
• Troubleshooting and bug fixing.
• Identifying bottlenecks and improving software efficiency.
• Collaborating with the design team on developing micro-services.
• Writing technical documents.

Required Competencies:

• Bachelor’s degree in computer engineering or computer science.
• Previous experience as a full stack engineer.
• Advanced knowledge of front-end languages including HTML5, CSS, TypeScript, JavaScript, C++, JQuery, React.js and Next.js.
• Knowledge of relational database systems and SQL.
• Familiarity with AWS architecture and working knowledge of services like S3, SES, EC2, RDS and more.
• Proficient in back-end languages including Java, Python, Rails, Ruby, .NET, and PHP.
• Advanced troubleshooting skills.
• Familiarity with MS Word, Excel, PowerPoint, Notion, Veed.io, Linear, Intercom, Plateau, and Miro.
• A strong belief that a team as a whole is greater than the sum of its parts.
• Excellent leadership, communication, and organization skills
  
  

Experience Needed: 2+ Years

Location: Bengaluru

• Meeting with the software development team to define the scope and scale of software projects.
• Designing software system architecture.
• Completing data structures and design patterns.
• Designing and implementing scalable web services, applications, and APIs.
• Developing and maintaining internal software tools.
• Writing low-level and high-level code.
• Troubleshooting and bug fixing.
• Identifying bottlenecks and improving software efficiency.
• Collaborating with the design team on developing micro-services.
• Writing technical documents.

Good to have:

• EE Functional Knowledge and experience in QAD Implementation
• EE Customization experience
• ICT knowledge.
• Hands-on with QRF
• Qxtend handling knowledge
• Knowledge on Automotive / FMCG / Medical Devices / Industrial Manufacturing domains
• Good oral and written communication

Responsibilities:

• Techno-Functional consultant.
• Should be able to handle the tickets assigned on their own.

• B.Tech/B.E(Computer Science/Information Technology) and 4+ years of software development experience
• Strong experience in Python
• Strong problem-solving skills, Computer science fundamentals, Data structures, and Algorithms
• Knowledge of Databases such as SQL and Nosql