Remote Data Scientist: Azure Synapse & PySpark

Flowserve, S. de R.L. de C.V. (Mexico); Mexico; Hybrid; 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

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.