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Shuru Technologies Private Limited

Senior Data Engineer (AI)

Shuru Technologies Private Limited Bengaluru, Karnataka, India

IT Services and IT Consulting · 51-200 employees

Oct 06
Remote data-engineer Senior (5-10 yrs) Full-time India
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About the role

Design and maintain scalable data pipelines and cloud-based data solutions using Python, SQL, and AWS. Collaborate with product and business teams to build data ingestion, transformation, and analytics solutions for large-scale datasets.

What they look for

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

Requirements

Requires strong experience in Python, SQL, Snowflake, and PySpark for building large-scale data pipelines. Candidates must have hands-on experience with AWS services and AI-assisted development workflows.

Benefits

International projects Regular team outings Collaborative environment Growth-oriented environment Career development opportunities Competitive salary

Full description

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

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