Data Engineer

Orbital; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Free lunch

Free dinner

Health insurance

Job summary

A fast-growing AI startup in Hyderabad is seeking a Data Engineer to build and maintain scalable ETL pipelines and work with large datasets. The ideal candidate should have 2–5 years of hands-on experience with Python and strong SQL skills. In this high-ownership role, you'll manage data quality checks and contribute to a modular ETL framework. This position offers a full-time employment opportunity in a fun, energetic startup environment with perks such as free meals and health insurance.

Qualifications

• 2–5 years of hands-on Python experience.
• Experience working with large datasets.
• Strong SQL skills and understanding of ETL fundamentals.

Responsibilities

• Build and maintain scalable ETL pipelines in Python.
• Clean, validate, transform, and merge large datasets.
• Monitor pipelines, troubleshoot failures, and improve performance.

Skills

Python

SQL

ETL fundamentals

Data quality checks

Tools

Elasticsearch

AWS

TypeScript

Job description

Join the fastest-growing AI startup in Hyderabad: Orbital. We’re a New York City startup with a major team in Hyderabad. With $4.5M in funding from Silicon Valley investors, we’re building a platform that uses AI agents to help sales teams sell 10x faster. Today Orbital is trusted by public companies like Hewlett-Packard and Instacart as well as quickly growing startups like Classpass.

We have a fun, in-person culture, free lunch and dinner, and a quickly growing team in Hyderabad.

Orbital was founded in 2021 by Ani Kunaparaju and Riley Soward, who split their time between New York City and Hyderabad.

About the Role

We’re hiring a hands‑on Data Engineer to help build and own our core ETL systems and data pipelines. You’ll work with very large datasets (100M+ rows), building reliable workflows to clean, merge, and load data from multiple sources into our unified production database.

This is a high‑ownership individual contributor role with real impact on our core platform.

What You’ll Do

• Build and maintain scalable ETL pipelines in Python
• Clean, validate, transform, and merge large datasets
• Contribute to a modular ETL framework for adding new data sources
• Implement data quality checks and consistency rules
• Work with the team on schemas, merge logic, and downstream consumers
• Monitor pipelines, troubleshoot failures, and improve performance

What We’re Looking For

• 2–5 years of hands‑on Python experience
• Experience working with large datasets
• Strong SQL and solid understanding of ETL fundamentals
• Comfortable owning systems in production
• Ability to work independently in a fast‑moving environment

Nice to Have

• Experience with Elasticsearch
• Experience with TypeScript
• Experience with AWS
• Fun, high‑energy startup environment
• Free lunch, dinner, and snacks
• Health insurance provided

Job Details

• Seniority level: Entry level
• Employment type: Full‑time
• Job function: Information Technology
• Industries: Software Development

Referrals increase your chances of interviewing at Orbital by 2x