A premium, high-growth technology solutions firm is seeking a highly skilled Senior Data Engineer to design, scale, and optimize enterprise-grade data infrastructure pipelines. The ideal candidate will have 6 to 9 years of pure data engineering experience, deep cloud capabilities natively on AWS, and strong software engineering roots using either Python or Java. You will partner closely with engineering leads and product stakeholders to transform large-scale unstructured datasets into highly reliable, secure, and production-ready data ecosystems.
Core Responsibilities
- Architect, build, and deploy robust, automated end-to-end ETL and ELT data pipelines to ingest and process high-volume enterprise datasets.
- Design, scale, and monitor distributed data processing workflows, orchestrating microservices architectures with a strong focus on high availability, data integrity, and low-latency throughput.
- Collaborate with database administrators and analytics groups to design multi-tenant relational schemas, manage database connection pooling, optimize complex SQL queries, and implement version-controlled data pipelines.
- Integrate modern machine learning and generative AI workflows into existing data lakes, constructing retrieval-ready structures and semantic vector storage environments.
- Enforce technical engineering standards, conduct peer code reviews, mentor early-career data developers, and contribute heavily to infrastructure automation practices.
- Implement comprehensive data security controls, data validation checks, and continuous integration and continuous deployment (CI/CD) pipelines to guarantee continuous system reliability and performance tuning.
Required Experience and Qualifications
Total Experience: Strictly 6 to 9 years of dedicated professional industry tenure operating as a Data Engineer or Data Infrastructure Specialist.
- Core Technical Stack: Advanced technical expertise in Python or Java backend programming, combined with structural database management utilizing MySQL or PostgreSQL.
- Cloud Infrastructure: Hands-on production-scale implementation of Amazon Web Services (AWS) cloud solutions, including configuration and orchestration of compute, storage, containerization, and serverless microservices.
- Data Orchestration: Practical experience working with modern pipeline orchestration engines, workflow schedulers, and distributed big data frameworks.
- System Design: Solid understanding of high-concurrency systems execution, asynchronous data streaming, API gateway integration patterns, and cloud-native security practices.
- Communication: Excellent technical documentation capabilities, problem-solving skills, and a strong track record of cross-functional team collaboration.
What We Offer
- Premium compensation package tracking the upper bands of the mid-tier tech market.
- Opportunity to work on cutting-edge AI-native product infrastructures and enterprise database modernizations.
- Highly collaborative, transparent, and performance-driven engineering culture.
Pay: From ₹2,500,000.00 per year
Benefits:
Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru, Bengaluru Urban District)
