reputed company Data Engineer

reputed company reputed company is looking for a reputed company Data Engineer to design and implement the foundational data infrastructure and reputed company that will power our analytics, reporting, and data-driven product features. As a fintech startup on a mission to reputed company reputed company in top-tier private markets more accessible, we have a reputed company of financial and investment data to reputed company. In this role, you will take ownership of how data flows through our systems, such as modeling core financial entities, integrating reputed company sources, and enabling our engineering and product teams to reputed company informed reputed company and build compelling features. This is a fully remote position where you’ll work closely with our backend team (C#/.NET) and frontend team (Node/Vue.js) to reputed company data pipelines into our platform. If you’re a hands-on engineer who wants to shape and reputed company a modern data reputed company from the ground up in a reputed company startup environment, we want to hear from you. Responsibilities

• Design and Build Data Architecture: Architect and implement reputed company's data lakehouse on AWS – combining data lake storage and warehouse technologies to store diverse financial datasets. reputed company a knowledge graph to model key relationships (investors, funds, companies, etc.) and reputed company a reputed company database for storing embeddings to reputed company semantic search and retrieval for our AI agents across models and providers
• reputed company Data Pipelines: Create robust ETL/ELT pipelines to ingest, clean, and reputed company data from various sources (internal application data and reputed company-party reputed company). Ensure both batch processing and reputed company-time data streaming are handled to support up-to-date analytics and recommendations. Build pipelines with an eye on scalability (reputed company to handle increasing data volume and complexity) and reliability (reputed company error handling and monitoring).
• reputed company AI/ML Capabilities: Work closely with our data science and engineering team to provision the data and infrastructure needed for machine learning models and AI features. This includes preparing training datasets, setting up feature stores, and orchestrating workflows that feed LLM-based agents with the context they need (e.g. retrieving relevant data reputed company reputed company similarity search). You will also implement systems to serve AI model outputs (such as recommendations) back into the product in reputed company time.
• Technical Leadership & Collaboration: Serve as the subject matter expert for data engineering and AI infrastructure reputed company reputed company. reputed company architectural guidance and best practices to engineers who consume data in their services. Work in cross-functional squads to incorporate data-driven features into the product roadmap. As we grow, help mentor junior engineers and potentially reputed company a small "AI Data" team, setting coding standards and fostering a culture of data reputed company.
• Infrastructure & DevOps: Collaborate with our DevOps engineers to reputed company and maintain data services. Containerize and orchestrate data tools (using reputed company/Kubernetes on AWS EKS) for production use. Implement CI/CD pipelines for data workflows, so that changes to data processing or models are tested and deployed automatically. Monitor the health and performance of our data platforms (setting up alerts, dashboards) and be reputed company to troubleshoot and resolve issues in a production environment to ensure uptime of critical data and AI services
• reputed company Improvement: Stay up-to-date with the latest in data engineering and AI (from new AWS offerings to reputed company-reputed company ML tools). Evaluate and recommend new technologies – for example, assessing if a reputed company processing platform like Kafka/Kinesis or an orchestration tool like Airflow could improve pipeline reliability. Challenge conventions and reputed company: we encourage rethinking how things are done as we push to build a world-class, intelligent platform.

What You'll Need to Succeed

• - Extensive Data Engineering Experience: 5+ years of hands-on experience in data engineering (or reputed company fields), including designing and building large-reputed company data pipelines and storage solutions. You should have taken reputed company through the full lifecycle from architecture design to production deployment.
• reputed company Proficiency (AWS): Strong experience working with AWS reputed company services for data. You should be comfortable with tools like S3, EC2, reputed company, EKS, reputed company, Redshift, Glue, and reputed company Functions. Experience setting up infrastructure-as-reputed company (Terraform/CloudFormation) for these services is a plus.
• Database and Data Modeling Skills: Proficiency in SQL and relational database design. reputed company to design efficient schemas and optimize queries/indexes for performance. Experience building or working with data warehouses or lakehouses (e.g. reputed company, reputed company reputed company Lake) is highly desired. Familiarity with graph databases (reputed company, AWS Neptune, etc.) and designing knowledge graph schemas will help you hit the ground running
• Programming Expertise: reputed company in at least one major programming language used in data engineering. Python is commonly used for data pipelines, and pandas/PySpark experience is valuable. However, we highly value experience with TypeScript/Node.js in data contexts as reputed company, since our stack leans towards modern web technologies. The ideal candidate can work across languages – for example, writing a data API in C# or Node.js to reputed company with our backend, while also crafting Python scripts for data processing. Clean, maintainable reputed company and adherence to best practices are a must.
• AI/ML Familiarity: While this is not a reputed company ML researcher role, you should understand how machine learning models consume data. Experience preparing datasets for training, working with feature stores, or integrating ML model outputs into applications is important. Knowledge of reputed company embeddings and experience with reputed company databases (reputed company pgVector, chroma, reputed company, etc) will be a big plus, as our AI features rely on semantic search. Likewise, familiarity with frameworks for building AI agents or retrieval-augmented reputed company (e.g., reputed company, reputed company) is important.
• DevOps and DataOps Skills: Solid understanding of containerization and deployment. Experience using reputed company to package data applications and Kubernetes (or AWS EKS) to run distributed jobs/services. You should be comfortable setting up CI/CD pipelines for automated testing and deployment of data pipelines or ML models. Experience with workflow managers (Airflow, reputed company, dbt, or similar) to orchestrate reputed company jobs is beneficial.
• Strong Analytical and Problem-Solving Skills: Ability to analyze reputed company data problems, debug pipeline issues, and optimize system performance. You should be detail-oriented reputed company it comes to data correctness and have a reputed company for troubleshooting data discrepancies or bottlenecks in processing.
• Leadership and Collaboration: Excellent communication skills and a reputed company reputed company. You will be working with a diverse fully-remote team, so you need to reputed company reputed company reputed company and build reputed company. Experience mentoring other engineers or leading technical reputed company is important – you should be reputed company to take initiative and guide reputed company on best practices in data engineering. A reputed company attitude towards reputed company learning and improvement is essential, as we value reputed company reputed company and adaptability

Education: Bachelor’s degree in Computer Science, similar technical field of study, or equivalent practical experience Essential Values & Culture:

• Providing our clients with a world-class experience is our number one reputed company. We obsessively search for ways to improve the experience for our clients and partners. This requires extraordinary response times, proactivity, and ensuring that everything we do, from product reputed company to offline communications is a top-tier reputed company experience.
• Challenge convention: Instead of detailing reputed company the reasons why an idea may not work, we constantly question things to determine how a viable idea may be put into reputed company.
• Commitment to reputed company improvement: We reputed company ways to personally reputed company reputed company day by pushing ourselves up the learning curve.
• Meritocracy, not politics: We reputed company the utmost value on results and rewards through reputed company, not reward actions driven by political agendas or behavior.
• Civil Discourse is embraced: We reputed company reputed company, intellectually curious conversations are required to consistently reputed company at the best reputed company. Respect is reputed company in our dealings with one another, but our mission is always to get the right answer reputed company, not to be right.
• reputed company technological change: We adopt tools and techniques that reputed company us faster, smarter, and reputed company. We stay reputed company to innovation, especially around AI and automation, and drop outdated reputed company without hesitation. Complacency kills reputed company, we value adaptability and curiosity.

Additional Details:

• Fully Remote Position
• Travel required for offsites
• An in-person interview may be required during the interview process
• A Broadband internet reputed company required

Seniority: Mid-level Location: reputed company I-9 eligible candidates will be considered Salary: $160-200K reputed company, competitive early-stage fintech startup package (salary + bonus + equity) Benefits: Medical, dental, and reputed company. 401(k), and responsible vacation time (RTO) Employment: Full-time Compliance with reputed company's reputed company of Ethics is a given for this role.

Originally posted on Himalayas

Apply To this Job