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Title: Data Platform / Database Architect (Postgres + Kafka) — AI‑Ready Data Infrastructure

Location: Noida (Hybrid). Remote within IST±3 considered for exceptional candidates.

Employment: Full‑time

About Us

We are building a high‑throughput, audit‑friendly data platform that powers a SaaS for financial data automation and reconciliation. The stack blends OLTP (Postgres), streaming (Kafka/Debezium), and OLAP (ClickHouse/Snowflake/BigQuery), with hooks for AI use‑cases (vector search, feature store, RAG).

Role Summary

Own the end‑to‑end design and performance of our data platform—from multi‑tenant Postgres schemas to CDC pipelines and analytics stores—while laying the groundwork for AI‑powered product features.

What You’ll Do

• Design multi‑tenant Postgres schemas (partitioning, indexing, normalization, RLS), and define retention/archival strategies.  

• Make Postgres fast and reliable: EXPLAIN/ANALYZE, connection pooling, vacuum/bloat control, query/index tuning, replication.  

• Build event‑streaming/CDC with Kafka/Debezium (topics, partitions, schema registry), and deliver data to ClickHouse/Snowflake/BigQuery.  

• Model analytics layers (star/snowflake), orchestrate jobs (Airflow/Dagster), and implement dbt‑based transformations.  

• Establish observability and SLOs for data: query/queue metrics, tracing, alerting, capacity planning.  

• Implement data security: encryption, masking, tokenization of PII, IAM boundaries; contribute to PCI‑like audit posture.  

• Integrate AI plumbing: vector embeddings (pgvector/Milvus), basic feature‑store patterns (Feast), retrieval pipelines and metadata lineage.  

• Collaborate with backend/ML/product to review designs, coach engineers, write docs/runbooks, and lead migrations.

Must‑Have Qualifications

• 6+ years building high‑scale data platforms with deep PostgreSQL experience (partitioning, advanced indexing, query planning, replication/HA).  

• Hands‑on with Kafka (or equivalent) and Debezium/CDC patterns; schema registry (Avro/Protobuf) and exactly‑once/at‑least‑once tradeoffs.  

• One or more analytics engines at scale: ClickHouse, Snowflake, or BigQuery, plus strong SQL.  

• Python for data tooling (pydantic, SQLAlchemy, or similar); orchestration with Airflow or Dagster; transformations with dbt.  

• Solid cloud experience (AWS/GCP/Azure)—networking, security groups/IAM, secrets management, cost controls.  

• Pragmatic performance engineering mindset; excellent communication and documentation.

Nice‑to‑Have

• Vector/semantic search (pgvector/Milvus/Pinecone), feature store (Feast), or RAG data pipelines.  

• Experience in fintech‑style domains (reconciliation, ledgers, payments) and SOX/PCI‑like controls.  

• Infra‑as‑Code (Terraform), containerized services (Docker/K8s), and observability stacks (Prometheus/Grafana/OpenTelemetry).  

• Exposure to Go/Java for stream processors/consumers.  

• Lakehouse formats (Delta/Iceberg/Hudi).

We are hiring for Executive/ Team Leader- Inside Sales

Location -Noida

6 Days Working

The Inside Sales -Team Leader will manage leads, convert inquiries into sales, and build strong client relationships via phone, email, and online channels. The role involves understanding client needs, providing solutions, and driving business growth.

Key Responsibilities:

• Generate and qualify new business opportunities through calls, emails, and online research.
• Handling and assisting the team
• Handle inbound inquiries and convert them into confirmed business.
• Maintain and grow the client database and relationships.
• Coordinate with operations and account teams for smooth service delivery.
• Achieve monthly and quarterly sales targets and share reports.
• Stay updated on company products, pricing, and industry trends.

Key Skills & Competencies:

• Excellent communication and negotiation skills
• Strong phone and email etiquette
• Understanding of corporate sales processes
• Ability to manage multiple leads and prioritize effectively
• Target-driven and self-motivated

Experience

• 4–8 years of experience in inside sales, tele-sales, or lead generation in the travel domain is Plus

Seeking a detail-oriented Market Research Analyst to conduct surveys and analyze customer preferences and statistical data. Your role will involve providing valuable insights to support customers in their decision-making processes related to product designs, pricing, and promotions. As a successful Market Research Analyst, you will have the ability to independently analyze qualitative data, identify trends, assess strategies, and evaluate competition, with the ultimate goal of enhancing competitiveness. Your responsibilities will include gathering and interpreting market research data, generating reports, and presenting findings to stakeholders. We are looking for a self-motivated professional with strong analytical skills and a deep understanding of market dynamics. Join our team and contribute to our company’s success by helping us make data-driven decisions to optimize our products and strategies.

Key Responsibilities:

• Manage the full sales cycle: lead generation, prospecting, proposal development, negotiation, closing, and post-sales support.
• Develop and execute strategic sales plans to meet or exceed business targets.
• Build and maintain strong, long-lasting client relationships through regular communication and personalized service.
• Conduct high-impact presentations and product demos tailored to client needs.
• Lead, coach, and support the corporate sales team to achieve individual and team objectives.
• Monitor sales performance metrics and prepare regular reports for senior management.
• Identify emerging market trends and competitor activities to adjust sales strategies.
• Collaborate closely with internal teams (e.g., marketing, operations, finance) to ensure seamless client experiences.

Qualifications:

• Bachelor’s degree in Business, Marketing, or a related field
• Minimum 3 years of hands-on corporate or B2B sales experience
• Demonstrated success managing the complete sales cycle and closing high-value deals.
• Excellent verbal and written communication skills, with the ability to influence and negotiate effectively.
• Strong organizational skills and ability to manage multiple priorities.
• Proficiency in CRM tools and Microsoft Office Suite.

DESIRED SKILLS:

1. Android Development
2. Java / Kotlin
3. Javascript
4. UI / UX
5. Prototyping and Wireframing
6. Graphics and whiteboard application
7. Video-streaming and camera handling on Android
   
   
   

Company Description

At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers at the center of all innovation and value they are delivering. 

We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly available sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.

Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.

We are looking for a Big Data Engineer who will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

You will also be responsible for integrating them with the architecture used in the company.

We're working on the future. If you are seeking an environment where you can drive innovation, If you want to apply state-of-the-art software technologies to solve real world problems, If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity.

Responsibilities

As an experienced member of the team, in this role, you will:

• Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development

• You will research, design and code, troubleshoot and support. What you create is also what you own.

• Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.

• Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
• 5+ years relevant professional experience in Data Engineering and Business Intelligence
• 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
• Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
• Ability to effectively communicate with both business and technical teams.
• Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
• Understanding of relational and non-relational databases and basic SQL
• Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script

PREFERRED QUALIFICATIONS

• Experience with building data pipelines from application databases.
• Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
• Experience working with Data Lakes.
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Sharp problem solving skills and ability to resolve ambiguous requirements
• Experience on working with Big Data
• Knowledge and experience on working with Hive and the Hadoop ecosystem
• Knowledge of Spark
• Experience working with Data Science teams

Responsibilities

• Ability to translate Wireframes and Visual Designs into functional web apps using React, Node.js, and Mongo
• Creating RESTful services with Node.js
• Architect scalable web architectures
• Be responsive to change requests and feature requests Ability to wear many hats and learn new technologies quickly

Experience

• 1-2 years with Node.js and Express
• Ability to work both independently and in collaborative teams to communicate design and build ideas effectively
• Experience using asynchronous RESTful services (JSON)
• Experienced in creating RESTful web services and API
• Experience with JWT/OAuth
• Experience with MongoDB, MySql

Requirements

• Fluent knowledge of the latest HTML/CSS standards and best practices
• Working knowledge of JavaScript, React, Node.js and Express
• Understanding of HTTP methods and how server-side code is processed on the client
• Working knowledge of front end optimization and performance techniques
• Experience building responsive websites
• Able to handle multiple projects and competing deadlines
• Good understanding of overall web design including basic usability, accessibility, industry standards, architecture, and navigation