Data Scientist

Flowserve, S. de R.L. de C.V. (Mexico); Mexico; On-site; PHP 1,405,976 - 2,284,711; Full time

Job summary

Flowserve is looking for a data engineer to design and optimize data pipelines in Azure Synapse Analytics, using PySpark and Python. You will help migrate ADF pipelines, design scalable data models, and integrate data with Power BI for downstream analytics.

The role emphasizes data quality, governance, and collaboration across technical teams, utilizing Git workflows to improve performance and reliability of data solutions.

Qualifications

• Experience with ERP systems (SAP, Oracle).
• Hands-on with Azure Synapse Analytics, PySpark and Python.
• Strong SQL skills and data modeling knowledge (star schema).

Responsibilities

• Work closely with technical teams and stakeholders to understand data needs and translate them into solutions.
• Design, develop, and optimize data pipelines in Azure Synapse Analytics.
• Support building and maintaining data processing workflows using PySpark/Python, including reusable components and notebooks.
• Migrate existing Azure Data Factory pipelines into Azure Synapse.
• Help design scalable data models and integrate data with downstream tools such as Power BI.
• Follow internal data architecture standards and best practices.
• Ensure data pipelines are reliable with monitoring and error handling.
• Support data quality checks and validation processes to maintain accurate data.
• Collaborate using Git-based workflows and pull requests.
• Contribute to improving performance and efficiency of data solutions over time.

Skills

Fluent English

Multitasking in fast-paced environment

Strong SQL

Tools

Azure Synapse Analytics

PySpark

Python

Azure Data Lake (ADLS Gen2)

SQL

Power BI

Job description

If a culture of excellence, innovation and ownership is what you’re searching for, consider putting your experience in motion at Flowserve. As an individual contributor, or as a leader of people, your enterprise mindset will ensure Flowserve’s position as the global standard in comprehensive flow control solutions. Here, your opportunity for professional development and industry leading rewards will be supported by our foundational commitments to the values of people first, integrity and safety. Thinking beyond opportunity and reward, at Flowserve, we are inspired by working together to create extraordinary flow control solutions to make the world better for everyone!

Responsibilities

• Work closely with technical teams and business stakeholders to understand data needs and translate them into solutions
• Design, develop, and optimize data pipelines in Azure Synapse Analytics
• Support building and maintaining data processing workflows using PySpark/Python, including reusable components and structured notebook development
• Participate in the migration of existing Azure Data Factory (ADF) pipelines into Azure Synapse
• Help design scalable data models and integrate data with downstream tools such as Power BI
• Follow and contribute to internal data architecture standards, naming conventions, best practices
• Ensure data pipelines are reliable, with appropriate monitoring, and error handling
• Support data quality checks and validation processes to maintain accurate and consistent data
• Collaborate using Git-based workflows (e.g., pull requests)
• Contribute to improving performance and efficiency of data solutions over time

Qualifications

• Experience working with ERP systems (SAP, Oracle)
• Hands on experience with Azure Synapse Analytics, PySpark and Python, Azure Data Lake (ADLS Gen2)
• Solid SQL skills and experience working with large-scale datasets
• Understanding of data modeling concepts (e.g. star schema, layered architecture)
• Experience with ETL/ELT design patterns
• Ability to handle multiple projects in a fast-paced environment
• Fluent oral and written English

Location: Mexico, remote location