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Urgent! Data Engineer - Python Job Opening In Gurugram – Now Hiring Confidential

Data Engineer Python



Job description

<p><p><b>About the Role : </b><br/><br/></p><p>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 : </b></p><br/></p><p>Python Driven Data Pipelines : <br/><br/></p><p>- Develop, maintain, and optimize Python scripts and libraries for automated data ingestion from market data providers and internal sources.<br/><br/></p><p>- Develop and maintain a unified RPC-based data access library in Python, compatible with all key systems.<br/><br/></p><p>- Take complete ownership of identifying, auditing, and managing all existing and new data sources.<br/><br/></p><p>Data Quality & Monitoring : <br/><br/></p><p>- Design and deploy automated validation checks to detect anomalies, gaps, and inconsistencies in incoming data feeds.<br/><br/></p><p>- Collaborate with quants to establish data accuracy benchmarks and troubleshoot data discrepancies.<br/><br/></p><p>- Data Vendor Management & Pipeline Expansion<br/><br/></p><p>- Proactively source and evaluate new external data vendors and offerings (e.g., factor models, fundamental and sentiment data).<br/><br/></p><p>- Build and maintain a pipeline of potential and exploratory data sources.<br/><br/></p><p>- Monitor and ensure timely ingestion of data from all subscribed providers.<br/><br/></p><p>- Evaluate subscription utility to optimize costs (e.g., Refinitiv, eSignal, KRX).

Conduct regular audits to reduce spend on underutilized or obsolete sources.<br/><br/></p><p>Collaboration & Documentation : <br/><br/></p><p>- Partner closely with quantitative researchers and software engineers to integrate new datasets and evolving requirements.<br/><br/></p><p>- Write clear documentation and maintain code repositories to support team onboarding and knowledge sharing.<br/><br/></p><p>Long-Term Data Strategy : <br/><br/></p><p>- Stay updated on industry trends in financial data and Python tooling to drive continuous enhancement of our data stack.<br/><br/></p><p>- Collaborate with research and engineering teams to define and compute proprietary indicators (e.g., custom sentiment Experience & Skills : </b></p><p><br/></p>- Bachelor's or Master's degree in Computer Science from Tier one colleges, Engineering, Data Science, or a related field.<br/><br/></p><p>- 12 years of professional experience in data engineering, data analyst, software development or a Python focused role.<br/><br/></p><p>- Strong proficiency in Python scripting, including building functions, modules, and lightweight APIs.<br/><br/></p><p>- Experience with numpy and pandas packages.<br/><br/></p><p>- Familiarity with version control (Git) and collaborative development workflows.<br/><br/></p><p>- Basic understanding of financial market data (e.g., equities, derivatives) and the challenges of time series data.</p><br/></p> (ref:hirist.tech)


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