Data Engineer

2 weeks ago


Gurugram, India Strategic Talent Partner Full time

About the Role : We are seeking a proactive and detail-oriented Data Engineer to build and maintain robust data processes for our financial datasets. You will play a pivotal role in designing data ingestion pipelines, ensuring data quality, and enabling seamless access for our quantitative research and trading Responsibilities : Python Driven Data Pipelines : - Develop, maintain, and optimize Python scripts and libraries for automated data ingestion from market data providers and internal sources.- Develop and maintain a unified RPC-based data access library in Python, compatible with all key systems.- Take complete ownership of identifying, auditing, and managing all existing and new data sources.Data Quality & Monitoring : - Design and deploy automated validation checks to detect anomalies, gaps, and inconsistencies in incoming data feeds.- Collaborate with quants to establish data accuracy benchmarks and troubleshoot data discrepancies.- Data Vendor Management & Pipeline Expansion- Proactively source and evaluate new external data vendors and offerings (e.g., factor models, fundamental and sentiment data).- Build and maintain a pipeline of potential and exploratory data sources.- Monitor and ensure timely ingestion of data from all subscribed providers.- Evaluate subscription utility to optimize costs (e.g., Refinitiv, eSignal, KRX). Conduct regular audits to reduce spend on underutilized or obsolete sources.Collaboration & Documentation : - Partner closely with quantitative researchers and software engineers to integrate new datasets and evolving requirements.- Write clear documentation and maintain code repositories to support team onboarding and knowledge sharing.Long-Term Data Strategy : - Stay updated on industry trends in financial data and Python tooling to drive continuous enhancement of our data stack.- Collaborate with research and engineering teams to define and compute proprietary indicators (e.g., custom sentiment Experience & Skills : - Bachelor's or Master's degree in Computer Science from Tier one colleges, Engineering, Data Science, or a related field.- 12 years of professional experience in data engineering, data analyst, software development or a Python focused role.- Strong proficiency in Python scripting, including building functions, modules, and lightweight APIs.- Experience with numpy and pandas packages.- Familiarity with version control (Git) and collaborative development workflows.- Basic understanding of financial market data (e.g., equities, derivatives) and the challenges of time series data. (ref:hirist.tech)



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