Senior Data Engineer

Rockwell Automation; Ciudad de México; Híbrido; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A global technology leader in Mexico City is seeking a Senior Data Engineer to leverage predictive modeling and data analysis techniques. In this role, you will design and implement data management solutions, support development activities, and mentor other engineers. Ideal candidates have extensive experience with Databricks and Azure services. Competitive benefits include a comprehensive mindfulness program and volunteer paid time off.

Servicios

Comprehensive mindfulness programs

Volunteer Paid Time Off

Employee Assistance Program

Personalized wellbeing programs

Formación

• 5+ years of data engineering experience with Databricks (Python, Pyspark, Spark SQL).
• 2+ years of experience with CI/CD and Azure DevOps pipeline.
• 3+ years of experience in Azure Data Factory for job orchestration.
• Experience in requirement & business use case gathering for 3-5 years.

Responsabilidades

• Design, code, and test new data management solutions.
• Support development activities across multiple projects.
• Mentor and lead other engineers in development lifecycle.
• Collaborate with analysts and product owners to define requirements.

Conocimientos

Python

SQL

PySpark

Data Warehousing

Azure DevOps

Data Governance

Herramientas

Databricks

Azure Data Factory

Power BI

Descripción del empleo

Overview

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!

Role

Job Description

As a Senior Data Engineer you will use predictive modeling, statistics, trend analysis, and other data analysis techniques to identify the right data to be analyzed from internal and external sources, then constructs software systems and algorithms to explain or predict customer behavior and solve a variety of business problems. Assist business analysts with finding patterns and relationships in data. Build predictive models using large-scale our data, test the model on results outside of the sample size and verify the model in the real world through relational database structures, research methods, sampling techniques, and system testing.

You will report to the Director of Commercial Innovation and Design.

Responsibilities

• You will design, code and test new data management solutions, including supporting applications and interfaces.
• You will support development activity in multiple DA&I and Connected Enterprise related projects, for internal and external customers.
• You will work with other engineers and architects to plan and keep the architecture current.
• You will mentor and lead DA&I engineers through the development lifecycle.
• You will improve the DevOps pipeline deployment model.
• You will write high-quality code compliant with regulations.
• You will collaborate with business systems analysts and product owners to define requirements.
• You will support backlog management in JIRA to maintain stories
• You will lead a small pod of analyst and engineers for new feature development
• You will create test and data validation logic, framework and code
• You will troubleshoot reported issues and bugs, create fixes, conduct Root Cause Analysis and propose permanent fixes.

Data Engineer Qualifications

• Data engineering with Databricks (Python, Pyspark, Spark SQL): 5+ years
• CI/CD with Azure DevOps pipeline: 2+ years
• Azure Data Factory for job orchestration: 3+ years
• Requirement & Business use case gathering: 3-5 years
• Meta data & Data Governance: 5+ years
• High-level Design, Data Modeling: 3+ years
• Thoughtful skills in Python, SQL, PySpark, Data Warehousing, Azure Stack (Databricks, Data Factory, DevOps). Power BI is optional but plus

Hours

Provide daily support 7:00am to 4:30pm CST or 12:00pm to 9:00pm IST

What We Offer

Our benefits package includes …

• Comprehensive mindfulness programs with a premium membership to Calm
• Volunteer Paid Time off available after 6 months of employment for eligible employees.
• Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
• Employee Assistance Program
• Personalized wellbeing programs through our OnTrack program
• On-demand digital course library for professional development... and other local benefits!

Policy

Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.