Senior Data Engineer (AI)
Shuru Technologies Private Limited
- Location
- Onsite (Bangalore North, Karnataka)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 weeks ago
About the role
Shuru is a technology consulting firm specializing in AI-native product development and engineering solutions for global clients. This role involves designing scalable data pipelines and cloud-based data solutions to support large-scale analytics and business impact.
Skills
Python
SQL
Snowflake
PySpark
AWS
Data engineering
ETL
Data modeling
Big data
Data pipelines
Cloud computing
Automation
Data ingestion
Data transformation
AI-native development
Performance optimization
Perks
- Remote Work
- Team outings
Full job details
Shuru is a self-managed technology team specializing in accelerating visions through product, technology, and AI leadership. With a focus on bespoke execution, we deliver impactful solutions that are scalable and designed for success. At Shuru, we deliver mobile solutions that meet and exceed customer expectations. Our collaborative and fast-paced environment encourages creativity and innovation.
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions using Python, SQL, Snowflake, PySpark, and AWS.
Key Responsibilities
- Design and maintain scalable data pipelines using Python, SQL, Snowflake, and AWS.
- Build data ingestion, transformation, and analytics solutions for large-scale datasets.
- Work with product, business, and QA teams to deliver reliable data solutions.
- Improve data processing performance, reliability, and overall data quality.
- Use AI-native development practices and AI tools for coding, reviews, testing, documentation, and productivity.
Requirements
- Strong experience in Python development, particularly for ETL, data processing, and automation.
- Strong expertise in SQL and Snowflake is required, including data modeling and performance optimization.
- Hands-on experience with PySpark and Big Data technologies is required for building and processing large-scale data pipelines.
- Experience with AWS services such as S3, SNS, and Glue, along with cloud-based data engineering solutions.
- Experience building scalable data pipelines, integration frameworks, and AI-assisted development workflows is essential.
Benefits
- Work on international projects: Be part of a global team working with clients from across the world.
- Regular team outings: Even with remote work, we believe in building strong team bonds through regular social and team-building events.
- Collaborative & growth-oriented: Learn from senior engineers, work in a collaborative environment, and grow professionally with opportunities for career development.
- Competitive Salary and Benefits