Remote Senior Data Engineer, AI & Big Data Pipelines

Genpact Ltd.; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Genpact Ltd. is seeking a Senior Data Engineer to design and build scalable data processing systems in a fast-paced environment. You’ll ingest, transform, and store large data volumes while collaborating with data scientists and analysts to implement robust solutions.

You will guide junior engineers and stay ahead of industry trends in big data, AI, and cloud platforms, contributing to Genpact’s AI Gigafactory initiatives and enterprise-scale data architectures.

Qualifications

• Bachelor's degree or higher in a relevant field.
• Strong knowledge of data engineering and big data tooling.
• Experience with cloud platforms and Databricks.
• Proven ability to design scalable data pipelines and governance.

Responsibilities

• Design and develop scalable data processing systems.
• Ingest, process, and store large data volumes.
• Optimize data infrastructure for performance and reliability.
• Collaborate with data scientists and analysts.
• Mentor junior data engineers on best practices.

Skills

Apache Kafka

Apache Spark

Cloud Platform

Databricks Platform

Data Engineering

Data ETL

Data Integration

Data Quality

Data Stream

Data Warehousing (DW)

Docker

Git

Kubernetes

Performance Optimizations

Process Orchestration

Python

Quality Assurance (QA)

Snowflake

System Performance Monitoring

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Master's degree in Data Science

Tools

Azure

Databricks

Job description

Genpact Ltd. is seeking a Senior Data Engineer to design and build scalable data processing systems in a fast-paced environment. You’ll ingest, transform, and store large data volumes while collaborating with data scientists and analysts to implement robust solutions.

You will guide junior engineers and stay ahead of industry trends in big data, AI, and cloud platforms, contributing to Genpact’s AI Gigafactory initiatives and enterprise-scale data architectures.