Big Data Engineer - Python/Spark in भारत

Job Summary :In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world https://jobeax.com/link/JC3CtKQ32o6HlxfT Responsibilities :- Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions.- Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.- Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.- Develop, manage, and optimize distributed databases and storage systems for efficiency and reliability.- Monitor, troubleshoot, and enhance data systems to ensure high availability and performance.- Enforce data quality, security, and governance standards across all solutions.- Document solutions and communicate complex technical concepts effectively, both in writing and https://jobeax.com/link/2luqtWY4b55DMQvB Skills and Qualifications :- Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines.- Advanced proficiency in Python for data processing, automation, and integration.- Deep understanding of relational and NoSQL databases, including optimization and management techniques.- Experience with distributed data processing frameworks (e.g., Hadoop, Spark, Flink).- Strong foundation in data modeling, ETL processes, and data warehousing principles.- Excellent written and verbal communication skills, with the ability to convey technical ideas clearly to both technical and non-technical stakeholders.- Detail-oriented, proactive, and self-motivated, thriving in remote and autonomous work https://jobeax.com/link/TcYMIwwXyQaLOZSp Qualifications :- Prior experience in fast-paced or startup-like environments supporting global teams.- Expertise with cloud-based big data platforms (e.g., AWS, GCP, Azure).- Familiarity with machine learning operations and data science workflows is a plus. (ref:hirist.tech)