Senior Data Engineer: Pipelines & Data Quality

Baker & McKenzie Rechtsanwaltsgesellschaft mbH; Manila, Hinoba-an; Presencial; PHP 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Baker McKenzie is seeking a seasoned Data Engineer to design, develop, and maintain data storage, processing, and analytics infrastructure for enterprise-wide data needs in Manila. You will build and optimize data pipelines, ensure data quality and governance, and collaborate with data scientists and analysts to enable AI, ML, and BI initiatives.

The role requires strong expertise in Apache technologies, cloud services, and modern data architectures, with a focus on performance, scalability, and

Formación

• Bachelor's degree in computer science, data science, software engineering, information systems, or related field.
• Master's degree preferred.
• At least six years in data management, data integration, modeling, or related areas.

Responsabilidades

• Designs and develops data pipelines to extract, transform, and load data into storage systems.
• Collaborates with data scientists and analysts to optimize models for data quality and governance.
• Integrates data from databases, data warehouses, APIs, and external systems.
• Ensures data consistency and integrity during integration; performs data validation and cleaning.

Conocimientos

Data pipelines

Kafka

Airflow

Spark

Java

Python

SQL

NoSQL

Cloud (AWS/Azure/GCP)

Snowflake/Databricks

Educación

Bachelor's degree in CS/DS/SE/IS

Master's degree preferred

Herramientas

Snowflake

Databricks

Descripción del empleo

Baker McKenzie is seeking a seasoned Data Engineer to design, develop, and maintain data storage, processing, and analytics infrastructure for enterprise-wide data needs in Manila. You will build and optimize data pipelines, ensure data quality and governance, and collaborate with data scientists and analysts to enable AI, ML, and BI initiatives.

The role requires strong expertise in Apache technologies, cloud services, and modern data architectures, with a focus on performance, scalability, and