Data Engineer

Responsibilities

• Support the design, development, and maintenance of cloud-based data ingestion and integration pipelines
• Build and maintain ETL / ELT workflows using Python, SQL, Spark, and Databricks
• Integrate data from heterogeneous sources including SaaS platforms, APIs, databases, and cloud applications
• Develop centralized data services and APIs for downstream consumption
• Prepare curated datasets for data lakes, enterprise data hubs, and data warehouses
• Develop and maintain SQL objects, data models, and transformations
• Write clean, maintainable Python code for data processing and orchestration

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience
• 2–4 years of experience in data engineering or analytics engineering
• Proficiency in Python and SQL
• Hands-on experience with Databricks, Snowflake, or similar modern data platforms
• Familiarity with cloud data services (Azure preferred)
• Understanding of ETL / ELT concepts, data modeling, and pipeline monitoring
• Experience with structured and semi-structured data from APIs and SaaS platforms

Preferred Qualifications

• Exposure to financial services or enterprise data environments
• Exposure to BI tools such as Power BI or Tableau

About the Company

General Atlantic is a leading global investor with over four decades of experience providing capital and strategic support for over 830 companies. Following the acquisition of Actis, the firm also operates a Sustainable Infrastructure business focused on energy transition, digitalization, and supply chain transformation.