Self Motivated Engineer with a solid understanding of modern data ecosystems and a relentless drive for excellence and innovation. This role requires someone who thrives in dynamic settings, carrying solid technical foundations with adaptability and a product-focused mindset.

Key Responsibilities
Design and deliver optimized, data-driven systems that address the Volume, Velocity, and Variety of enterprise-scale data.
Develop, test, and maintain data pipelines and distributed data-processing workflows using Python, PySpark or equivalent processing engines.
Integrate diverse data sources into unified, high-performing platforms that enable analytics and machine learning initiatives.
Implement data orchestration using tools such as Airflow, within cloud ecosystems like AWS, Azure, or GCP.
Apply best practices in data modeling, ETL/ELT design patterns, and schema evolution management.
Emphasize clean code, modular architecture, and workflow automation for scalability and maintainability.
Demonstrate agility in adopting current tools and methodologies,



including GenAI technologies to enhance productivity and innovation in data workflows.
Deliver end-to-end, product-grade data solutions focused on performance, reliability, and user impact.
Maintain a proactive mindset with excellent communication, accountability, and execution discipline.
Commit to continuous learning and innovation in data technologies and systems design.

Specialized Responsibilities
Data Engineering & Modernization: Research and build reusable templates and frameworks for legacy-to-cloud migrations (e.g., Mainframe to Snowflake or Databricks).
Governance & Metadata Management: Develop automated frameworks for data cataloging, metadata enrichment, and AI-ready data quality gates to ensure trusted, compliant datasets.
Data Platforms & Consumption: Craft advanced BI accelerators and real-time semantic layers to empower analytics, reporting, and executive decision-making across t

📌 Data Engineer Raipur
🏢 Nucleusteq
📍 Raipur