Job Description:We help enterprises transform fragmented data, systems, documents, and business knowledge into trusted, governed, reusable, and AI-ready enterprise context. Our work spans contemporary data foundations, enterprise data architecture, integration, semantic layers, knowledge graphs, GraphRAG, ontologies, metadata, intelligent automation, and production-grade AI systems.Role Overview:- We are seeking a motivated Data Engineer with solid hands-on experience building and operating data pipelines, integrations, and models in production environments.- This is a hands-on engineering role. You will build, test, and maintain the data pipelines, transformations, and data products that underpin our clients' data platforms, working from designs set by senior architects.Key Responsibilities:- Build and maintain ingestion, integration, transformation, and orchestration pipelines.- Implement ETL/ELT, API, CDC, and streaming integration patterns under architectural guidance.- Develop and maintain logical and physical data models.- Build and support data products, including documentation of schemas and data contracts.- Write clean, tested, well-documented,



production-grade code.- Implement metadata, lineage, data quality checks, and monitoring for pipelines you own.- Support analytics, ML, and GenAI use cases by delivering reliable, well-structured data.Required Experience and Skills:- 3 - 6 years of experience in data engineering or a closely related role.- Strong hands-on coding ability (Python and/or SQL) for building data pipelines.- Practical experience with ETL/ELT tools and workflow orchestration (e.g., Airflow, dbt, or similar).- Working knowledge of at least one major cloud data platform (Snowflake, Databricks, AWS, Azure, or GCP).- Understanding of data modeling fundamentals (dimensional modeling, normalization).AI and Modern Engineering Exposure (Good to Have):- Familiarity with LLM/GenAI concepts and basic RAG pipelines.- Exposure to vector databases or knowledge graphs.- Experience using AI-assisted coding tools such as Claude Code, Cursor, or GitHub Copilot.Education:- Bachelor's degree in Computer Science, Engineering, or a related field. (ref:hirist.tech)

📌 Data Engineer - Python/ETL (Hyderabad)
🏢 Kalpavruksh Systems Private
📍 Hyderabad