Data Engineer

Overview

About SkyGeni
SkyGeni is a Silicon Valley startup with a global presence, headquartered in San Jose, California, with a growing technology team in Bengaluru, India. We provide Growth Insights as a Service to fast-scaling B2B SaaS and cybersecurity companies by aggregating Go-To-Market data from multiple sources and leveraging Explainable AI to deliver actionable insights.

Our mission is to help businesses improve predictability, accelerate growth, and optimize Sales and Marketing effectiveness through proactive, data-driven insights.

Role Overview
We are looking for a Data Engineer to join our technology team in India. In this role, you will play a key part in building and optimizing data pipelines, transforming raw data into meaningful insights, and working closely with AI/ML teams to integrate machine learning models into data workflows. This is an exciting opportunity to grow your career in a fast-paced, early-stage B2B SaaS startup.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python.
• Process, clean, and transform structured and unstructured data for analysis.
• Utilize DataFrames (Pandas, PySpark, etc.) for efficient data manipulation.
• Write and optimize SQL queries for data extraction, transformation, and aggregation.
• Collaborate with AI/ML teams to integrate machine learning models into data pipelines.
• Implement data preprocessing and feature engineering techniques to enhance data quality.
• Work with cross-functional teams to derive actionable insights from data.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 2-3 years of experience as a Data Engineer, working with data pipelines and ETL processes.
• Strong proficiency in Python, DataFrames, and SQL.
• Should have working knowledge of JavaScript / TypeScript
• Experience with AI/ML/LLM models is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.