10.0 - 14.0 years

0 Lacs

pune, maharashtra

On-site

As a Founding Engineer at Colrows, you will play a crucial role in shaping and scaling our generative analytics platform. We are dedicated to revolutionizing how enterprises engage with data, aiming to make insights as accessible as conversing with a colleague. Our platform integrates robust data foundations, agentic workflows, and enterprise-grade governance to deliver a seamless, self-serve experience. Join us in driving the development of a powerful execution engine that lies at the core of our platform. In this role, you will serve as a hands-on Principal Software Engineer, leveraging your architectural expertise and practical experience in constructing resilient systems using Java and open-source technologies. Your primary responsibility will be to lead the design and implementation of the backend engine, which processes and transforms large-scale structured data with a focus on precision, performance, and clarity. Key Responsibilities: - Design and construct essential components of the Colrows platform, such as distributed query execution, type-safe data transformation pipelines, and high-performance connectors to various database backends. - Architect and deploy scalable, fault-tolerant services in Java utilizing open-source libraries and tools. - Ensure accuracy in data type mappings, memory representations, and serialization across diverse data systems. - Mentor and guide engineers through code reviews, design discussions, and the implementation of production-quality solutions. - Collaborate with AI, frontend, and infrastructure teams to deliver a cohesive and agentic product experience. - Take charge of technical decision-making by balancing performance, maintainability, and extensibility. You Bring: - Over 10 years of hands-on experience in backend engineering with a specialization in Java. - A solid foundation in computer science fundamentals, particularly in data structures, memory models, and type systems. - Previous experience handling large datasets spanning terabytes of structured data across distributed systems. - Practical knowledge of data type mappings in SQL engines, Java, JSON, Avro, Arrow, and binary formats. - Proficiency in in-memory data representations, caching strategies, and performance optimization. - Demonstrated success in designing and implementing clean, testable, and production-grade code. - Familiarity with tools such as Apache Arrow, Apache Calcite, Apache Ignite, Presto/Trino, Apache Beam, RocksDB, Protobuf, gRPC, and Netty. - Bonus: Experience in contributing to open-source projects or building data platforms, databases, or query engines. What You'll Get: - Opportunity to work on a cutting-edge analytics platform that is reshaping how enterprises engage with data. - Direct collaboration with the founder and a dedicated, technically proficient team. - A culture that promotes ownership, autonomy, and deep engineering involvement. - Competitive compensation, meaningful equity, and the flexibility of a modern remote/hybrid work environment.,

Posted 4 days ago

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Senior Data Pipeline Engineer and Data Integration Engineer Capgemini

5.0 - 9.0 years

8 - 13 Lacs

Hyderabad

Work from Office

About The Role Role Overview:Develop efficient SQL queries and maintain views, models, and data structures across federated and transactional DB to support analytics and reporting. SQL (Advanced) Python for data exploration and scripting Shell scripting for lightweight automationKey Responsibilities: Write complex SQL queries for data extraction and transformations Build and maintain views, materialized views, and data models Enable efficient federated queries and optimize joins across databases Support performance tuning, indexing, and query optimization effortsPrimary: Expertise in MS SQL Server / Oracle DB / PostgresSQL , Columnar DBs like DuckDB , and federated data access Good understanding of Apache Arrow columnar data format, Flight SQL, Apache Calcite Secondary: Experience with data modelling, ER diagrams, and schema design Familiarity with reporting layer backend (e.g., Power BI datasets) Familiarity with utility operations and power distribution is preferred Experience with cloud-hosted databases is preferred Exposure to data lake in cloud ecosystems is a plusOptional Familiar with Grid CIM (Common Information Model; IEC 61970, IEC 61968) Familiarity with GE ADMS DNOM (Distribution Network Object Model) GE GridOS Data Fabric

Posted 5 days ago

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