Data Engineer

About Us

We are a global SaaS company with 60+ employees and offices in Sydney, London, Boston, New York, Mohali and Bangalore. Our platform is live, growing, and serving paying customers across multiple international markets.

Role Overview:

As a Data Engineer (4-6 years of Experience) at Bengaluru (Hybrid mode), you will be a key contributor to our global SaaS ecosystem. You will design and scale the data backbone that supports our live platforms and paying customers across international markets. This role is ideal for a backend-heavy engineer who thrives on building robust pipelines, optimizing complex schemas, and ensuring data reliability at scale.

Location - Bengaluru

What You'll Do

• Pipeline Engineering: Build, own, and maintain scalable data pipelines that power our platform, analytics, and business operations.
• ETL/ELT Design: Design workflows for ingesting, transforming, and validating data from diverse sources.
• Backend Development: Develop robust backend data processes using Python and SQL.

• Data Modeling: Model, optimize, and maintain data schemas across both transactional and analytical systems.

• Stream & Batch Processing: Support batch and near real-time processing pipelines for internal and customer-facing use cases.

• Collaboration: Work closely with engineering, product, and business teams to translate data requirements into reliable technical solutions.

• Quality & Observability: Improve data quality, observability, and pipeline reliability across the entire stack.

• Orchestration: Manage complex orchestration workflows using tools such as Airflow or Celery.

• Infrastructure & Strategy: Contribute to cloud infrastructure, deployment workflows, and the long-term architecture of our global data platform

What We're Looking For

• Professional Experience: 4+ years in data engineering, backend engineering, or a closely related role.
• Programming Mastery: Strong expertise in Python and advanced SQL (including indexing, query tuning, and schema optimization).
• Technical Stack: * Hands-on experience building ETL/ELT pipelines and managing large-scale data movement.
• Proficiency with PostgreSQL, MySQL, or similar production databases.
• Experience with orchestration tools (Airflow/Celery) and containerization (Docker/Kubernetes).
• Cloud Knowledge: Exposure to Google Cloud Platform / AWS services (S3, RDS, Lambda, ECS/EKS, or Redshift).
• Domain Expertise: Solid understanding of data warehouse concepts, analytics enablement, and reporting pipelines.
• Soft Skills: Strong problem-solving ability, high ownership, and the ability to work effectively in a fast-paced, onsite environment.

Education: Bachelors degree in Computer Science, Engineering, Mathematics, or a related field.

What We Offer

• Live product with real customer impact from day one.
• A global team and international exposure across multiple markets.
• Opportunity to work closely with experienced engineering and product leaders.
• Career growth in a fast-moving SaaS environment.
• ESOP opportunities based on tenure and role.
• International travel opportunities across the US, UK, Australia, France, and Italy.

Requirements

4+ years of work experience with Python

4+ years of work experience in Data Engineering

Strong experience with SQL, ETL workflows, and databases