Backend Data Engineer

Company: SuMeera Solutions (CompliEase – AI-powered Compliance SaaS) Location: Remote (India) | Team base in Chhattisgarh & across India Employment: Full-time | ESOPs available About SuMeera Solutions We're building CompliEase , an AI-driven SaaS that converts complex regulations into structured rules, APIs, and dashboards. You'll work on a modern, multi-tenant platform powering real-time compliance checks, automated data extraction from regulatory sources, and intelligent document processing using AWS Bedrock. Role Overview We're seeking a Backend Data Engineer with strong Python skills to build our data ingestion, processing, and AI/ML pipelines. You'll work on extracting regulatory data from diverse sources (CSV/XLS, PDFs, web scraping), orchestrating ETL workflows, leveraging AWS Bedrock for intelligent document processing, and building APIs to serve processed data. Light front-end work using FastAPI or Node.js is also expected. What You'll Do Data Engineering & ETL Build Python pipelines to ingest data from CSV/XLS files and load into PostgreSQL with proper validation, transformations, and error handling. Design and implement web scraping solutions to extract regulatory data from government and industry websites (BeautifulSoup, Scrapy, or similar). Download and process OSHA compliance PDFs, store in AWS S3, and manage document versioning and metadata. Develop ETL workflows with proper logging, monitoring, and retry mechanisms. AI/ML & Document Processing Integrate AWS Bedrock LLMs to extract structured compliance data from PDF documents (regulations, standards, guidelines). Build prompt engineering workflows to parse unstructured regulatory text into structured database schemas. Implement validation and quality checks on AI-extracted data before loading into PostgreSQL. Optimize LLM calls for cost and performance (batching, caching, context management). Database & API Development Design PostgreSQL schemas for compliance rules, regulatory mappings, and extracted document data. Write efficient SQL queries, manage indexes, and optimize database performance. Build REST APIs using FastAPI or Node.js to expose processed compliance data. Implement basic front-end interfaces for data review, validation, and admin workflows. AWS & Infrastructure Work with AWS services: S3 (document storage), Bedrock (LLM integration), RDS/PostgreSQL, Lambda (optional), and CloudWatch (monitoring). Manage secrets using AWS Secrets Manager or Parameter Store. Deploy and maintain data pipelines in production environments. Must-Have Skills 2–4 years of professional experience in backend development and data engineering. Strong Python skills : pandas, file I/O, data validation, error handling, async programming. Web scraping : BeautifulSoup, Scrapy, Selenium, or similar; handling dynamic content, pagination, rate limiting. PostgreSQL : schema design, SQL queries, indexes, transactions, database optimization. AWS experience : S3, Bedrock (or similar AI/ML services), RDS, basic IAM and security. ETL/data pipelines : building reliable data ingestion and transformation workflows. API development : FastAPI or Node.js/Express for building RESTful services. Git , Docker basics, and familiarity with CI/CD concepts. Good-to-Have Experience with AWS Bedrock and other LLM platforms . PDF processing libraries (PyPDF2, pdfplumber, Textract). Front-end basics: React, HTML/CSS, JavaScript/TypeScript for simple admin UIs. Workflow orchestration tools (Airflow, Prefect, Step Functions). Experience with OCR, document classification, or NLP pipelines. Understanding of regulatory compliance domains (OSHA, EPA, safety standards). Testing frameworks (pytest), data quality validation, and monitoring/observability. Work Setup & Timing Remote within India (stable internet & professional workspace required). Flexible hours with 2–3 hrs overlap with US Central Time for stand-ups/reviews (typically 7:30–10:30 AM IST during US daylight savings or 8:30–11:30 AM IST standard time). What We Offer Compensation : Up to ₹5 Lakh per annum (based on experience) + ESOPs High ownership in building critical data infrastructure and AI/ML capabilities Work on cutting-edge AI compliance automation with real business impact Mission-driven product serving enterprises across multiple industries Education Bachelor's in CS/IT/Data Science or equivalent practical experience. How to Apply Email your resume (and GitHub/portfolio if available) to , and also apply via LinkedIn by answering all the mandatory questions .