Data Engineer

We are seeking a skilled Data Engineer to design, build, and optimize modern data solutions that support business operations and decision-making. This role combines data engineering, software development, and emerging AI technologies to create scalable, reliable, and efficient data systems., * Design, build, and maintain scalable data pipelines and ETL/ELT processes.

• Develop automated data collection, integration, and web scraping solutions.
• Create and manage data models, validation frameworks, and monitoring processes.
• Build APIs and internal applications that improve data accessibility and usability.
• Collaborate with technical and business stakeholders to deliver data-driven solutions.
• Leverage AI and automation tools to improve engineering workflows and productivity.
• Support architectural improvements and the ongoing evolution of the data platform.
• Ensure data quality, integrity, performance, and security across all systems.

The ideal candidate has strong experience with data pipelines, cloud platforms, automation, and Python development, along with a passion for solving complex technical challenges., * 5+ years of experience in Data Engineering, Software Engineering, or a related field.

• Strong proficiency in Python and SQL.
• Experience with data processing libraries such as Pandas and NumPy.
• Hands-on experience designing and supporting production ETL/ELT workflows.
• Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or similar platforms.
• Experience with cloud-based data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
• Strong understanding of data modeling, transformation, validation, and quality management.
• Experience building automated data acquisition or web scraping solutions.
• Familiarity with AI-powered development tools and machine learning or LLM integrations.
• Strong problem-solving skills and the ability to work independently in a fast-paced environment., * Experience with TypeScript or JavaScript.
• Experience with backend frameworks such as FastAPI, Django, Express, or NestJS.
• Familiarity with React, Next.js, or other modern web frameworks.
• Knowledge of AI applications, RAG architectures, and LLM-powered solutions.
• Experience with AWS or other cloud environments.
• Familiarity with Docker, Terraform, CI/CD pipelines, and Infrastructure as Code.
• Experience working with semi-structured data such as PDFs, spreadsheets, and contracts.
• Experience with vector databases such as Pinecone, Weaviate, or pgvector.
• Previous experience in a high-growth or startup environment.