sales and marketing executive

Mandatory : Excellent in communications  

Job Description:

 The HR Operations plays a pivotal role in ensuring the smooth and efficient functioning of the human resources department. This position involves managing various HR processes to support the organization's workforce.  

 Job Details:  

● Taking care of onboarding/Exit, Induction, documentation etc. for successful joining of candidates at client’s place of various letters to the candidates on behalf of clients such as Offer Letters, Appointment Letters & ID Cards etc.  

● Coordination with clients for attendance & leave records.  

● Interact & maintain excellent relationships with our client’s employees by ensuring proactive solutions & support for all their HR related queries 

 ● Coordinate with internal departments for any kind of support required for servicing the client successfully  

● Good to have experience of payroll processing and compliances like PF, ESIC, PT, LWF etc.  

● Must have excellent verbal & written comm. Skills

Qualifications:  

* Bachelor's degree in Human Resources, Business Administration, or a related field.  

* Proven experience in HR operations or a similar role. • Familiarity with HRIS and other HR software.

 • Strong organizational and communication skills. • Payroll Experience is mandatory. 

 • Attention to detail and a commitment to maintaining confidentiality. • Ability to multitask and prioritize in a fast-paced environment. Must be from Staffing industry ONLY

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.

Focus: General PTE and IELTS

Schedule: Flexible. Must be available from 6:30 AM IST when required.

Compensation: 10 AUD per hour

Job Summary

We are looking for an experienced and dedicated PTE / IELTS Tutor to deliver effective online training sessions for students preparing for General PTE and IELTS exams. The ideal candidate understands exam structures, scoring patterns, and coaching strategies that help learners consistently hit their target scores.

Key Responsibilities

• Conduct engaging online classes for General PTE and IELTS learners.
• Create personalized lesson plans based on student proficiency.
• Teach all four modules. Speaking, Listening, Reading, and Writing.
• Run mock tests and provide detailed performance feedback.
• Track student progress and share clear improvement strategies.
• Explain exam formats, marking criteria, and time management methods.
• Maintain smooth and professional communication with students and management.

Requirements

• Proven experience teaching PTE and. or IELTS.
• Strong understanding of General PTE test format.
• Excellent English communication skills.
• Ability to teach online via Zoom, Google Meet, or similar tools.
• Availability at 6:30 AM IST when needed.
• Strong interpersonal and motivational skills.

Preferred Qualifications

• PTE score of 79+ or IELTS 8.0+.
• Previous online tutoring experience.
• TESOL, TEFL, or related certification is a plus.

Benefits

• Competitive pay at 10 AUD per hour.
• Flexible working hours.
• 100 percent remote. Work from home.
• Opportunity to train students from diverse international backgrounds.

Responsibilities:

1. Creating content for ongoing campaigns such as writing copy for email marketing campaigns & WebStories, writing answers on Quora, copywriting for creatives etc.
2. Coordinate with the internal and external team for content creation and ensuring that the writing is consistent and in line with the overall campaign and brand requirements
3. QA for all the content deliverables shared by the freelancers/content agencies 
4. Perform keyword research based on the campaign requirements to make sure the writing is search engine friendly
5. Perform content strategy to come up with new ideas for content creation for the website 
6. Plan weekly deliverables along with the Organic Growth team and manage the requirements, blockers (if any) to ensure smooth flow and timely completion of work
7. Analyse competitor’s presence on different platforms and come up with suggestions to help the Growth team scale with the help of personalized content

Desired Skills and Experience:

1. 4-5 years of experience in copywriting (Finance Industry)
2. Creative thinking and an ability to come up with ideas that address the campaign needs
3. Very strong written and verbal communication skills
4. Problem-solving mindset & self-starter attitude
5. Ownership of the creative process
6. Competitor research
7. Stakeholder and project management

Qualifications:

• Minimum Qualification: Graduate

• Develop new product features and new applications within an Agile
• Build reusable code and libraries for future
• Write well-designed, testable, efficient code using the latest development best
• Collaborate with designers to implement and improve design
• Optimize applications for maximum speed and
• Stay up-to-date on emerging
• Contribute to the continuous improvement of the development

• Passion to build world class UI design
• 5+ years of experience developing web applications with modern JavaScript programming frameworks, tooling and libraries (such as Backbone, Angular, React, Vue.js, Ember) and CSS pre-processing frameworks (such as Sass or Less)
• Minimum one-year experience in developing js applications in team environment.
• Experience with state management frameworks like Redux
• Experience writing unit tests
• Familiarity with common front-end development tools such as Babel, Webpack, gulp, npm- scripts
• Any experience building, launching or supporting a SaaS product