Big Data Lead

Job not on LinkedIn

🔥 1 hour ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 22%

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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VALCE Talent Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🤝 B2B

🎯 Recruiter

💼 Consulting

B2B • Recruitment • Consulting

VALCE Talent Solutions is a company specializing in nearshoring, IT talent acquisition, and consultancy aimed at helping businesses expand globally, particularly in Mexico, LATAM, and the United States. They offer customized solutions that include talent recruitment, workforce management, and the integration of technology and artificial intelligence to enhance business processes. With a strong focus on strategic consulting, VALCE aims to connect technology, talent, and tangible results, boasting a robust network of IT professionals and a proven track record of successful placements and project scaling.

📋 Description

• Lead Big Data engineering activities for Hexaware • Develop and maintain data engineering and ETL/ELT solutions • Develop data pipelines and optimize their performance • Work on projects involving Databricks, Azure Data Factory, SQL, and Python

🎯 Requirements

• Advanced English • Must-have skills: Databricks • Must-have skills: Azure Data Factory • Must-have skills: SQL • Must-have skills: Python • Experience in data engineering and ETL or ELT development • Experience in data pipeline development and performance optimization • Nice-to-have: Exposure to Generative AI solutions and use cases • Nice-to-have: Experience working on AI or machine-learning-related data projects • Nice-to-have: Knowledge of Power BI, including dataset preparation and report integration • Nice-to-have: Experience with PySpark, Delta Lake, or Azure Data Lake Storage • Nice-to-have: Familiarity with Microsoft Azure cloud services • Nice-to-have: Understanding of CI/CD processes for data-engineering solutions • Nice-to-have: Exposure to data preparation for large language models, embeddings, vector databases, or retrieval-augmented generation solutions