Opening for Accounts Receivable in Pune

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.

Job Title: Fullstack Developer (MEAN Stack)

Company: Deqode

Type: Full-Time

Experience: 5+ Years

Location: Bangalore, Pune, Gurgaon, Chennai, Bhopal, Jaipur

Notice Period: Immediate Joiners Preferred

Valid Passport of candidate is mandatory for this profile.

About Deqode:

Deqode is a fast-growing digital transformation company that helps businesses adopt cutting-edge technologies to solve complex business problems. We work on innovative projects in blockchain, AI, enterprise software, and cloud-native development.

Role Overview:

We are seeking an experienced Fullstack Developer with strong proficiency in Node.js and Angular, and hands-on experience in Nest.js. The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications using the MEAN stack.

Key Responsibilities:

• Develop and maintain full-stack applications using Node.js, Angular, and Nest.js
• Build robust REST APIs and integrate with frontend interfaces
• Participate in design and architectural discussions
• Write clean, maintainable, and well-documented code
• Collaborate with cross-functional teams to define and deliver solutions
• Optimize applications for maximum performance and scalability
• Ensure quality through unit testing and code reviews

Required Skills:

• Strong expertise in Node.js with experience in backend development, API design, and event-driven architecture
• Proficiency in Angular for creating responsive and performant frontend interfaces
• Mandatory experience with Nest.js, leveraging its modular architecture and TypeScript capabilities
• Experience with MongoDB or similar NoSQL databases
• Excellent problem-solving and communication skills

Job Title - Senior Java Developer

Experience Required - 5 to 9 Years

Location - Bangalore (Work from Office)

Immediate joiners are preferred.

Job Description:

We are seeking a skilled Integration Developer with expertise in Apache Camel to design, develop, and implement scalable integration solutions. The ideal candidate will have a solid understanding of enterprise integration patterns, APIs, and cloud services.

Technical Expertise:

Strong hands-on experience with Apache Camel.

Proficiency in Java, Spring Framework, and Spring Boot.

In-depth knowledge of Enterprise Integration Patterns (EIPs).

Experience in building and consuming RESTful APIs and SOAP services.

Familiarity with message queues (e.g., ActiveMQ, RabbitMQ, Kafka).

Understanding of microservices architecture and cloud platforms (AWS, Azure, or GCP).

Roles and responsibilities:

Design and Develop Integration Solutions

Implement and manage enterprise integration patterns (EIPs)

API and Microservices Development

Collaboration and Requirement Analysis

Maintain Integration Pipelines

Documentation and Testing

Continuous Improvement

Main responsibilities and duties:

 Reviews deals on Salesforce with a commercial mindset and assesses the strength and

revenue potential of the deal.

 Has a good understanding of deal structures, and key KPIs e.g. discount, fee etc and uses this

knowledge to suggest improvements to submitted deals in order to maximise potential

profit.

 Works closely with the Merchandiser to ensure deals on-site are bringing in incremental

sales and aren’t cannibalising other deals.

 Provides relevant focus to the sales team to improve quality of deal submissions.

 Prioritises approved deals on the copy board, ensuring deals are written in priority order,

ensuring deals launch in time for key selling periods.

 Schedules launch date of deals.

 Identifies top deals that require a more in-depth write-up from the copy team and ensures

these are written in a timely manner.

Technical Skills required:

 BCom/BBA/MBA Degree or previous experience in a relevant sector

 Proficiency in Microsoft tools (e.g. excel)

 Ability to analyse data sets in order to arrive at logical conclusions

 Experience in tools such as SQL and Power Bi useful but not essential

Soft Skills required:

 Ability to prioritise and multitask, responding to ad-hoc data requests whilst taking care of

ongoing tasks / projects

 Ability to work with people with a variety of styles and working cultures

 Analytical mindset

 Attention to detail

 Strong communication

 Commercial Acumen

Job Description :

• The Primary Task Of A BPO Executive Is To Handle Calls From Customers Or Clients And Provide Them With A Solution To Their Queries • She Must Show The Willingness To Learn New Things Every Time And Then • Giving A Resolution To The Customers Or Clients Should Be The Whole And Sole Responsibility.

Note : Night Shift 
           Time : 6:30PM - 4:30AM
        
            Fluent english is must

About the company: