Data Engineer

Job Summary

We are looking for a passionate and driven Data Engineer to join our team. You will be instrumental in building scalable data pipelines, generating powerful insights, and supporting our AI/ML initiatives. If you enjoy working across data engineering and analytics and want to help shape the future of Agentic AI, wed love to hear from you!

Responsibilities

• Design, build, and manage robust data pipelines for collecting, transforming, and modeling data effectively within our Databricks data lake.
• Turn raw data into clean, reliable, and tested assets using SQL and modern transformation tools like dbt.
• Collaborate closely with cross-functional teams to deliver actionable insights that drive strategic products, AI, and business decisions.
• Contribute to AI research initiatives by validating model performance and supporting data needs for machine learning projects.
• Identify and address performance bottlenecks in data processing, analytics, and reporting.

Requirements

• 1 year of professional experience in data engineering
• Working with data querying and scripting languages (e.g., SQL, NoSQL, Python/R),
• Experience building and maintaining data pipeline processes using tools like Airflow, SQL tasks, and stored procedures.
• Working knowledge of data visualization tools like Tableau, Hex, or Power BI.
• Experience working with AWS services such as Lambda, S3, Cloudfront, SQS and more
• Good problem solving, critical thinking, and communication skills. Should be able to find the right balance between perfection and speed of execution
• Self-starter and self-learner, who is comfortable working in a fast paced environment while continuously evaluating emerging technologies
• Bonus: Foundational knowledge in fundamentals of Machine Learning and Artificial Intelligence

Mode of Work

In-Office (Koramangala, Bengaluru)

Tech Stack

• Products built using Python, Node.js, React.js, Devin, Cursor
• Databases such as MongoDB, PostgreSQL, Redis, Databricks
• Deployments on EKS, EC2, Lambda and other AWS services

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.