Sales Manager

• Strong UX-focused Product Design Profile
• Mandatory (Experience 1) – Must have 8+ YOE in Product Design, with a focus on UX Research, Designs and Design Operations, primarily in the B2B domain
• Mandatory (Experience 2) - Must have strong experience with Large-scale B2B Enterprise products, and should be leading multiple verticals in the ERP products
• Mandatory (Experience 3) – Must have strong experience in Project Management and Design operations - Like leading Design sprints, team task allocation, delivery planning, estimation and execution.
• Mandatory (Designation) – Must be Manager / Staff or above designation in Current role
• Mandatory (Team Managememt) - Must have atleast recent 2+ YOE as a Team Manager (Not mentoring, should be in a complete Manager role)
• Mandatory (Portfolio) - Must have strong B2B Products Case Studies for Complex B2B Enterprise level applications, with multiple connected modules (Dont want just simple UI screens in portfolio)
• Mandatory (Company) - Large-Scale B2B SaaS / Enterprise-level Products

Preferred

• Preferred (Experience) - Automotive, Retail or Dealerships domain experience
• Preferred (Companies) - Linkedin, Blikit, Intuit, Razorpay, Workday, Octa, Posman, Oracle, Walmart and similar companies

Preferred Companies

Linkedin, Blikit, Intuit, Razorpay, Workday, Octa, Posman, Oracle, Walma

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.

Candidates from Product Based companies preferred with IC roles

Candidates who have worked in 0-10 journey and passionate to that again

Ready to work in high growth enviornment

Job Requirements :

- 3+ years on Flutter, Overall 7 years plus

- Hands on and individual contribution on Syntax, Logic and Debugging

- Take ownership of the entire fintech application having 1M + users

- Recruit , train and manage Senior Developers (our most junior developers are 3+ years)

- Worked on latest android versions

- Hands on on Firebase, notifications, Google Maps, Sessions Management , Socket integration

- Good at Core Java and create own libraries

- Work Exp in Lead role in past companies

Experience with Flutter is a plus

• Develops software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes; investigating problem areas; and following the software development lifecycle.
• Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.
• Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code.
• Prepares and installs solutions by determining and designing system specifications, standards, and programming.
• Improves operations by conducting systems analysis and recommending changes in policies and procedures.
• Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment, and by participating in educational opportunities, reading professional publications, maintaining personal networks, and participating in professional organizations.
• Protects operations by keeping information confidential.
• Provides information by collecting, analyzing, and summarizing development and service issues.
• Accomplishes engineering and organization mission by completing related results as needed.
• Supports and develops software engineers by providing advice, coaching, and educational opportunities.

Job Description: Customer Service Executive (Hindi Voice Process)

Company: Hippdocloud Technologies

Location: Visakhapatnam

Experience: 0-1 year

Qualification: Any Graduate

Job Overview:

As a Customer Service Executive, you will be responsible for providing excellent customer service to clients in the Hindi language.

You will handle customer inquiries, resolve complaints, and provide information about company products and services.

The role involves communicating with customers primarily through voice calls.

Responsibilities:

Handle incoming customer calls and provide assistance in a professional and courteous manner.

Address customer inquiries, complaints, and provide appropriate solutions.

Maintain accurate and detailed records of customer interactions and transactions.

Collaborate with team members and other departments to ensure customer satisfaction.

Stay updated on company products, services, and policies to provide accurate information to customers.

Follow communication scripts and guidelines to ensure consistent and effective customer interactions.

Identify and escalate priority issues to the appropriate department or supervisor.

Provide feedback and suggestions for process improvements to enhance customer experience.

Requirements:

Fluency in Hindi and Telugu languages is essential.

Excellent verbal and written communication skills in Hindi.

Strong customer service orientation and problem-solving skills.

Ability to handle customer inquiries and complaints with empathy and professionalism.

Basic computer skills and familiarity with CRM systems.

Ability to work in a fast-paced environment and handle multiple tasks simultaneously.

Prior experience in customer service or call center roles is preferred but not mandatory.

• End-to-end full-stack development experience
• Full hands-on experience with at least one of the following languages Java, PHP, Python, .NET and code repositories like GIT, SVN
• Expertise with HTML5, JQuery, CSS
• Proficiency with front-end JavaScript frameworks like Angular, React, etc.
• Experience of designing and developing APIs in a micro-service architecture
• Experience with webserver technologies like Node.js, J2EE, Apache etc.
• Good understanding and working experience with either relational or non-relational databases like Oracle, MySQL, PostgreSQL, Mongo DB, Cassandra
• Good understanding of the changing trends of user interface guidelines for mobile apps and be able to transform apps to newer form factors
• Hands-on with Native UI Components
• Familiar with Cloud components & deployment procedures.
• Familiar with code repository

• Develop and manage apps on React Native platform
• Analyse, code, debug, test, document & deploy applications
• Provide technical leadership and upgrade architecture design and solution to accommodate future expansion
• Ensure quality control processes are successfully employed.
• Experience in React-Native based app development is a must
• Experience in Mobile app development (Cross platform apps)
• Must have published at least 1 major React-Native app
• Knowledge of service workers implementation for Progressive Web Application (PWA)
• Demonstrated ability with HTML5, CSS3, Bootstrap, jQuery, and other JS frameworks React JS
• Development experience of UI (layouts, animations, etc.)
• Good understanding of Design and Architecture Patterns
• Understanding of iOS and Android Code signing process and deployment model
• Understanding of Unit Testing, Debugging Methodology used in React Native Apps
• Understanding on integration of native modules with React Native code
• Experience with caching and scaling techniques