Data Engineer: Databricks & Python Pipelines | Hybrid MX

Oliver Wyman; Mexico; Hybrid; PHP 1,642,000 - 2,555,000; Full time

Job summary

Oliver Wyman in Mexico City is seeking a data engineer to design, build, and maintain scalable data pipelines and infrastructure to support data-driven initiatives. You will work with cross-functional teams to ensure availability, reliability, and performance of data systems, with strong emphasis on Databricks, SQL, and Python.

This hybrid role requires collaboration across analytics teams and engineering, contributing to data governance, quality, and architecture strategies, while mentoring

Qualifications

• 2+ years in data engineering or related roles.
• 2+ years with Databricks and ETL tools.
• 2+ years of SQL/PLSQL development.
• Experience with cloud platforms (AWS/Azure/GCP).
• Experience with big data tech (Hadoop/Spark/Kafka).
• Proficiency in Python or R.
• Ability to visualize data with Tableau or Power BI.
• Experience with relational and NoSQL databases and data warehousing.
• Experience with multiple RDBMS such as SQL Server, Oracle.

Responsibilities

• Collaborates with analytics and business teams to improve data models that feed BI tools.
• Develop and maintain automated data pipelines for data collection, transformation, and delivery.
• Implement systems to monitor data quality and integrity across production data sources.
• Design data integrations and data quality frameworks with governance principles.
• Partner with business units and engineering to define long-term data platform architecture strategies.
• Document technical designs, workflows, and best practices for team knowledge sharing.
• Provide technical guidance and mentorship to peers and other stakeholders as needed.

Skills

Databricks

SQL/PLSQL

Python

Data modeling

Data governance

Cloud platforms

Big data tech

Visualization

Relational/NoSQL databases

Education

Bachelor's or MS in quantitative discipline

Tools

SSIS

Azure Data Factory

Alteryx

Knime

Job description

Oliver Wyman in Mexico City is seeking a data engineer to design, build, and maintain scalable data pipelines and infrastructure to support data-driven initiatives. You will work with cross-functional teams to ensure availability, reliability, and performance of data systems, with strong emphasis on Databricks, SQL, and Python.

This hybrid role requires collaboration across analytics teams and engineering, contributing to data governance, quality, and architecture strategies, while mentoring