Senior Data Associate

Qode Advisors Llp

3 - 6 years

10 - 20 Lacs

mumbai

Posted:-1 days ago| Platform:

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Skills Required

etl pipelines data structures data management sql python c++ shell scripting postgresql kafka redis git linux data pipeline mysql hft

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role & responsibilities:

Architect and maintain structured databases for tick-level and MFT data.
Develop efficient ingestion & ETL pipelines using Python/C++, handling large volumes in near-real time.
Write optimised SQL queries and manage schemas for time-series and reference data.
Implement automated data validation, reconciliation, and version control.
Work with quants to expose clean datasets for research and live trading systems.
Ensure data integrity across time zones, instruments, and asset classes.
Manage historical data archives and set up policies for retention, compression, and retrieval.
Collaborate with the execution team to align live feeds with stored data.

Requirements :

Strong command over Python (pandas, multiprocessing, asyncio) and SQL (Postgres/MySQL).
Working knowledge of C++ for performance-critical modules or parsers.
Comfort with Linux environments, shell scripting, and version control (Git).
Experience handling large-scale time-series data.
Understanding of data normalization, schema design, and storage optimization.
Ability to work independently, manage priorities, and deliver with accountability.
Exposure to financial or tick-data pipelines, FIX/FAST feeds, or exchange APIs.
Familiarity with Redis, Kafka.
Prior experience in an HFT, quant, or data-heavy product firm.

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