Senior Data Engineer
NucleusTeqBengaluru, Karnataka, India • Hyderabad, Telangana, India • Gurgaon, Haryana, India • Indore, Madhya Pradesh, India • Raipur, Chhattisgarh, India
Posted April 10, 2026
Full Time
About the Company
NucleusTeq is a global software services provider headquartered in Phoenix, Arizona, that delivers AI‑driven solutions across generative AI, machine learning, data modernization, cloud computing, and enterprise automation. Leveraging its proprietary NuoData platform—comprising Atlas, Quantum, Nova AI, and other components—the firm offers end‑to‑end data transformation, real‑time analytics, and secure blockchain integration for Fortune 100 enterprises. Its value lies in scalable, cloud‑native architectures that combine LLM‑powered automation with rigorous data governance, enabling clients to accelerate digital transformation while maintaining compliance. NucleusTeq also supports custom product development, DevOps, and advisory services, fostering a culture of innovation and agility in a rapidly evolving technology landscape.
Job Description
We are looking for a highly skilled Data Engineer with 5+ years of experience in building scalable data pipelines and ETL platforms.
Requirements
- Design, develop, and maintain scalable ETL/data pipeline frameworks
- Build and manage data ingestion pipelines from multiple structured and unstructured sources
- Develop and orchestrate workflows using Apache Airflow
- Implement modular and microservices-based architecture for Python data platforms
- Write efficient and complex SQL queries for data transformation and analysis
- Design and implement REST APIs with proper validation and error handling
- Monitor, troubleshoot, and optimize pipeline performance
- Analyze logs and system performance using tools like Splunk
- Collaborate with cross-functional teams to ensure data quality and reliability
