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Senior Data Ops Engineer

10 - 13 years

1 Lacs

Remote, , India

Posted:3 days ago| Platform: Foundit logo

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Skills Required

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On-site

Job Type

Full Time

Job Description

We are building a scalable data collection, storage, and distribution platform to consolidate data from vendors, research providers, exchanges, prime brokers, and web scraping sources . The platform will serve systematic & fundamental portfolio managers (PMs) , as well as enterprise teams including Ops, Risk, Trading, and Compliance . The role involves developing internal data products and analytics while optimizing data pipelines. Key Responsibilities: Web Scraping & Data Acquisition Utilize scripts, APIs, and web scraping tools to collect market data. Data Engineering & Pipeline Development Build and maintain a greenfield data platform on Snowflake and AWS . Enhance and optimize existing data pipelines to meet new business needs. Onboard and integrate new data providers efficiently. Data Storage & Migration Handle data migration projects ensuring seamless transition and accuracy. Implement efficient storage solutions to support analytical workloads. DevOps & Cloud Infrastructure Work with Docker, Kubernetes, and Jenkins for scalable deployment. Optimize cloud infrastructure on AWS for performance and cost-effectiveness. Mandatory Skills & Experience: 10+ years of experience as a Data Engineer . Strong SQL & Python programming skills. Proficiency in Linux environments . Experience with AWS-based data solutions . Containerization expertise (Docker, Kubernetes). DevOps knowledge (Jenkins, CI/CD pipelines). Excellent communication and problem-solving skills . Nice-to-Have Skills: Experience with Market Data / Capital Markets projects. Knowledge of Apache Airflow for workflow automation.

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