Lead Data Engineer - AI-Driven Big Data Pipelines (Remote)

Genpact Ltd.; San Pedro; Híbrido; MXN 1.000.000 - 1.300.000; Jornada completa

Descripción de la vacante

Genpact Ltd. is seeking a Lead Data Engineer to spearhead the design and implementation of scalable data pipelines and Big Data solutions.

You will mentor a team of data engineers, ensure data quality and security, and collaborate with stakeholders to translate business needs into technical solutions. The role emphasizes staying current with industry trends, optimizing data systems, and delivering measurable outcomes for global enterprises.

Formación

• Bachelor's degrees in Business Analytics, CS or Statistics; Master’s in Data Science preferred.
• Certifications include Databricks, Azure Data Engineer, Oracle Database.
• Strong data engineering background with data quality and security focus.

Responsabilidades

• Lead a team of data engineers in building Big Data solutions.
• Design scalable data pipelines and ETL processes.
• Ensure data quality, integrity and security across systems.
• Collaborate with stakeholders to define requirements.
• Provide technical mentorship to junior engineers.
• Stay updated on Big Data trends and tools.
• Analyze data and troubleshoot performance issues.
• Maintain documentation for data processes and infrastructure.

Conocimientos

Data engineering

Cloud computing

Leadership

Stakeholder collaboration

Big data pipelines

Educación

Bachelor's in Business Analytics

Bachelor's in Computer Science

Bachelor's in Statistics

Master's in Data Science

Herramientas

Databricks Platform

Snowflake

Azure Data Engineer

Oracle Database

Descripción del empleo

Genpact Ltd. is seeking a Lead Data Engineer to spearhead the design and implementation of scalable data pipelines and Big Data solutions.

You will mentor a team of data engineers, ensure data quality and security, and collaborate with stakeholders to translate business needs into technical solutions. The role emphasizes staying current with industry trends, optimizing data systems, and delivering measurable outcomes for global enterprises.