Data Engineer

Genpact; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Genpact is seeking a Senior Data Engineer to drive data engineering efforts across Snowflake, DataStage, Python, and Kafka, enabling scalable AI/ML applications and advanced analytics adoption. The role focuses on shaping enterprise data engineering strategy and delivering end-to-end data solutions.

The candidate will collaborate with product teams and leadership to identify opportunities, define architecture, and ensure IT alignment with strategic vision while influencing data-driven decision

Qualifications

• Senior Data Engineer with Snowflake, DataStage, Python, and Kafka experience.
• Experience building AI/ML scalable data platforms.
• Ability to communicate with business leaders and stakeholders.

Responsibilities

• Leverage technical expertise to influence AI/ML application and scalability.
• Identify novel opportunities for advanced analytics solutions.
• Communicate with business leaders, product teams, and key stakeholders.
• Guide end-to-end solution development, IT implementation, and business adoption.
• Provide strategic guidance to executive leadership on tools and technologies.
• Collaborate with IT Architecture to ensure alignment with strategic vision.

Skills

SQL

ETL/ELT

Data Warehousing

Cloud Data Platforms

AI/ML engineering

Data Modeling

Workflow Orchestration

Tools

Snowflake

DataStage

Python

Kafka

Job description

Summary (2 lines)

Senior Data Engineer s Data Engineering team with Snowflake, DataStage, Python, and Kafka. Drives AI/ML scalability, advanced analytics adoption, and enterprise data engineering strategy.

Technical Skills (all preserved)

• SQL, ETL/ELT, Data Warehousing, Cloud Data Platforms
• AI/ML engineering, Data Modeling, Workflow Orchestration

Responsibilities (all preserved)

• Leverage technical expertise to influence AI/ML application and scalability.
• Identify novel opportunities for advanced analytics solutions.
• Communicate with business leaders, product teams, and key stakeholders.
• Guide end-to-end solution development, IT implementation, and business adoption.
• Provide strategic guidance to executive leadership on tools and technologies.
• Collaborate with IT Architecture to ensure alignment with strategic vision.