Data Engineer

2 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

SuiteSolvers is a boutique consulting firm that helps mid-market companies transform and scale through smart ERP implementations, financial automation, and operational strategy. We specialize in NetSuite and Acumatica, and we’re building tools that make finance and operations more intelligent and less manual.


Our clients range from high-growth startups to billion-dollar enterprises. We’re hands-on, fast-moving, and results-driven—our work shows up in better decisions, faster closes, cleaner audits, and smarter systems.


We’re not a bloated agency. We’re a small team with high standards. If you like solving real business problems with clean data pipelines, smart automation, and the occasional duct-tape hack that gets the job done—this might be your kind of place.


We are looking for a Data Engineer.


Essential Technical Skills

AI/ML (Required)

  • 2+ years hands-on experience with LLM APIs (OpenAI, Anthropic, or similar)
  • Production deployment of at least one AI system that's currently running in production
  • LLM framework experience with LangChain, CrewAI, or AutoGen (any one is sufficient)
  • Function calling/tool use - ability to build AI systems that can call external APIs and functions
  • Basic prompt engineering - understanding of techniques like Chain-of-Thought and ReAct patterns


Python Development (Required)

  • 3+ years Python development with strong fundamentals
  • API development using Flask or FastAPI with proper error handling
  • Async programming - understanding of async/await patterns for concurrent operations
  • Database integration - working with PostgreSQL, MySQL, or similar relational databases
  • JSON/REST APIs - consuming and building REST services


Production Systems (Required)

  • 2+ years building production software that serves real users
  • Error handling and logging - building robust systems that handle failures gracefully
  • Basic cloud deployment - experience with AWS, Azure, or GCP (any one platform)
  • Git/version control - collaborative development using Git workflows
  • Testing fundamentals - unit testing and integration testing practices


Business Process (Basic Required)

  • User requirements - ability to translate business needs into technical solutions
  • Data quality - recognizing and handling dirty/inconsistent data
  • Exception handling - designing workflows for edge cases and errors

Professional Experience (Minimum)


Software Engineering

  • 3+ years total software development experience
  • 1+ production AI project - any AI/ML system deployed to production (even simple ones)
  • Cross-functional collaboration - worked with non-technical stakeholders
  • Problem-solving - demonstrated ability to debug and resolve complex technical issues


Communication & Collaboration

  • Technical documentation - ability to write clear technical docs and code comments
  • Stakeholder communication - explain technical concepts to business users
  • Independent work - ability to work autonomously with minimal supervision
  • Learning agility - quickly pick up new technologies and frameworks

Educational Background (Any One)


Formal Education

  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • OR equivalent experience - demonstrable technical skills through projects/work


Alternative Paths

  • Coding bootcamp + 2+ years professional development experience
  • Self-taught with strong portfolio of production projects
  • Technical certifications (AWS, Google Cloud, etc.) + relevant experience [nice to have]

Demonstrable Skills (Portfolio Requirements)


Must Show Evidence Of

  • One working AI application - GitHub repo or live demo of LLM integration
  • Python projects - code samples showing API development and data processing
  • Production deployment - any application currently running and serving users
  • Problem-solving ability - examples of debugging complex issues or optimizing performance


Nice to Have (Not Required)

  • Financial services or fintech experience
  • Vector databases (Pinecone, Weaviate) experience
  • Docker/containerization knowledge
  • Advanced ML/AI education or certifications

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