Data Engineer

1 week ago

India InSiteVerse Full time

Equity Only (No Monetary Compensation) | Pre-Seed Stage Startup We are building a next-generation  AI-driven trading platform that ingests massive streams of financial, alternative, and sentiment data and transforms them into actionable insights. Our mission is to combine  robust data engineering pipelines with  Generative AI and advanced ML models to democratize access to sophisticated trading strategies. As part of our  founding technical team , you will play a crucial role in ensuring our platform's data backbone is reliable, scalable, and production-ready. We are looking for a  Founding Data Pipeline Engineer passionate about designing and building scalable data pipelines in the cloud. You will work closely with the  Founding Gen AI Engineer to ensure clean, validated, and well-structured data is available for model training, inference, and strategy generation. You will be hands-on with  custom Python development , running data ingestion and transformation jobs in  Azure Functions and similar serverless/cloud-native environments. You will also architect and optimize  data storage and analytics pipelines, leveraging  Azure OLAP services such as Kusto (KQL) and Data Lake, as well as Databricks. Data Pipeline Development: Design and implement scalable ingestion pipelines to handle high-volume, real-time, and batch data feeds. Write  custom Python code to run within Azure Function Apps for event-driven and scheduled ingestion tasks. Integrate APIs, event streams, and unstructured data into unified pipelines. Data Transformation & Storage: Implement preprocessing, validation, and enrichment logic to prepare datasets for AI/ML models. Leverage  Azure Data Lake, Synapse Analytics, and Kusto (KQL)for efficient querying, storage, and OLAP-style analytics. Ensure data quality, consistency, and schema evolution in a fast-changing environment. Collaboration with AI/ML: Partner with the  Founding Gen AI Engineer to ensure AI-ready datasets (structured, time-series, textual, and alternative data). ~ Enable backtesting and live trading workflows by delivering low-latency, reliable data pipelines. Operations & Observability: Design pipelines that can adapt to  scaling needs, failure recovery, and cost efficiency in the cloud. Take ownership of the  entire data lifecycle , from ingestion to OLAP. Contribute to technical decisions and long-term architecture. Operate in a  pre-funding, equity-only environment with full ownership of outcomes. 5–8 years of experience in  data engineering or pipeline development , with strong proficiency in  Python . ~ Hands-on experience building  serverless/cloud-native pipelines (Azure Functions, AWS Lambda, or similar). ~ Strong expertise with  Azure Data stack (Kusto/KQL, Synapse, Data Lake, Event Hubs, Data Factory). ~ Proven ability to design and manage  data ingestion, transformation, and storage pipelines at scale. ~ streaming data processing and how to optimize for low-latency use cases. ~ Bonus: familiarity with  financial data structures or trading systems (but not required). ~ Be a  founding technical member , building the  data backbone of a disruptive AI trading platform. Collaborate closely with the  Founding Gen AI Engineer to power cutting-edge ML models with high-quality data. Work with modern,  cloud-native, and serverless data pipelines in Azure. Full  equity-based compensation at pre-angel stage – a high-risk, high-reward journey.

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