Data Scientist

🕒 July 29

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Flowserve Corporation

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded <null>

💼 Consulting

📦 Logistics

🍽️ Food & Beverage

Consulting • Logistics • Food & Beverage

Flowserve Corporation is a company that prioritizes the security of personal data for its employees and job applicants. It emphasizes official communication through company email addresses to prevent fraud. The company offers various job opportunities across multiple departments such as Sales, Finance & Accounting, Engineering, and Logistics in numerous countries including the United States, India, Germany, Hungary, and several others. Flowserve is committed to equal opportunity employment, ensuring no discrimination based on disability or veteran status, and provides necessary accommodations to enable access to employment opportunities.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Professional development • Industry leading rewards