Junior KDB Developer

Bounteous; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Bounteous in Gurugram, India is seeking a Junior kdb Developer with 4+ years of experience to design, develop, and maintain kdb+ time-series data platforms across our capital markets technology estate.

You will work with senior kdb+ developers and quant analysts to build tick data pipelines, historical databases, and real-time analytics solutions in a fast-paced financial services environment.

Qualifications

• 4+ years hands-on kdb+ / q development in capital markets or financial services environments.
• Good q language proficiency — querying, data manipulation, and basic functional programming in production kdb+ environments.
• Solid understanding of kdb+ architecture — tickerplant, RDB, HDB, and basic IPC concepts.
• Working knowledge of capital markets — financial instruments (equities, FX, fixed income, derivatives) and market data concepts.
• Good SQL skills — data querying and analysis across relational databases alongside kdb+.
• Python skills — pandas, NumPy — for data analysis and kdb+ integration support.
• Comfortable working in Linux / Unix environments.
• Familiarity with Git for version control and collaborative development.
• Good communication skills — working effectively with quant analysts, senior developers, and technology teams.

Responsibilities

• Develop and maintain kdb+ / q solutions — RDB, HDB, and tickerplant components — supporting real-time and historical market data use cases.
• Write and optimise q SQL queries — data extraction, aggregation, and transformation across large-scale time-series financial datasets.
• Support market data feed integrations — Bloomberg, Refinitiv — including data capture, normalisation, and storage in kdb+.
• Build and maintain data pipelines — ingesting, transforming, and storing tick data across equities, FX, fixed income, and derivatives.
• Assist with kdb+ performance tuning — query optimisation, partitioning, and schema design for large-scale HDB datasets.
• Collaborate with quant analysts and senior developers — supporting data access, query development, and analytics requirements.
• Contribute to CI/CD pipeline integration — ensuring kdb+ solutions are built, tested, and deployed through automated pipelines.
• Produce clear technical documentation — data flow diagrams, schema definitions, and query guides.

Skills

kdb+

q language

Tick data

RDB/HDB

Market data

SQL

Python

Linux

Git

Capital markets

Fixed income

FX

Equities

Real-time data

Bloomberg

Refinitiv

CI/CD

Agile

Job description

4 years of experience
Skills: kdb+, q Language, Tick Data, RDB / HDB, Market Data, SQL, Python, Linux, Git, Capital Markets, Fixed Income / FX / Equities, Real-time Data, Bloomberg / Refinitiv, CI/CD, Agile

About the Role

We are looking for a Junior kdb Developer with 4+ years of experience to support the design, development, and maintenance of kdb+ time-series data platforms across our capital markets technology estate. You will work closely with senior kdb+ developers and quant analysts — building and maintaining tick data pipelines, historical databases, and real-time analytics solutions in a fast-paced financial services environment.

What We're Looking For

• 4+ years of hands-on kdb+ / q development experience in capital markets or financial services environments.
• Good q language proficiency — querying, data manipulation, and basic functional programming in production kdb+ environments.
• Solid understanding of kdb+ architecture — tickerplant, RDB, HDB, and basic IPC concepts.
• Working knowledge of capital markets — financial instruments (equities, FX, fixed income, derivatives) and market data concepts.
• Good SQL skills — data querying and analysis across relational databases alongside kdb+.
• Python skills — pandas, NumPy — for data analysis and kdb+ integration support.
• Comfortable working in Linux / Unix environments.
• Familiarity with Git for version control and collaborative development.
• Good communication skills — working effectively with quant analysts, senior developers, and technology teams.

Key Responsibilities

• Develop and maintain kdb+ / q solutions — RDB, HDB, and tickerplant components — supporting real-time and historical market data use cases.
• Write and optimise q SQL queries — data extraction, aggregation, and transformation across large-scale time-series financial datasets.
• Support market data feed integrations — Bloomberg, Refinitiv — including data capture, normalisation, and storage in kdb+.
• Build and maintain data pipelines — ingesting, transforming, and storing tick data across equities, FX, fixed income, and derivatives.
• Assist with kdb+ performance tuning — query optimisation, partitioning, and schema design for large-scale HDB datasets.
• Collaborate with quant analysts and senior developers — supporting data access, query development, and analytics requirements.
• Contribute to CI/CD pipeline integration — ensuring kdb+ solutions are built, tested, and deployed through automated pipelines.
• Produce clear technical documentation — data flow diagrams, schema definitions, and query guides.