Azure Data Engineer

Job not on LinkedIn

🕒 September 15

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.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

• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing • Build and optimize data models, Delta Tables, and Lakehouse architectures for analytics and reporting • Develop and integrate RESTful APIs and data services across enterprise systems • Implement real-time and high-frequency data ingestion using streaming technologies and event-driven architectures • Design and manage cloud-native data solutions using Azure Data Factory, Azure Databricks, ADLS, Event Hubs, and Synapse Analytics • Develop and optimize Databricks Spark applications for large-scale data transformation and processing • Ensure data quality, governance, security, and compliance across data platforms • Collaborate with data scientists, analysts, application teams, and business stakeholders • Troubleshoot, monitor, and optimize pipeline performance and data platform reliability • Support DataOps and CI/CD practices for data pipeline deployment and automation

🎯 Requirements

• Strong proficiency in SQL and relational databases such as Oracle, SQL Server, and MySQL • Strong programming skills in Python, PySpark, PL/SQL, Java, or Scala • Hands-on experience with Azure Cloud technologies: Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, Azure Event Hubs, Azure Functions, Azure API Management, and Azure DevOps • Experience with Databricks Lakehouse architecture, Delta Lake, and Delta Tables • Expertise in API development, API integration, RESTful services, and microservices architecture • Experience processing high-volume and high-frequency data with low-latency requirements • Strong knowledge of real-time data ingestion and streaming technologies such as Kafka, Azure Event Hubs, or Kinesis • Experience with Spark, Hadoop, and distributed data processing frameworks • Hands-on experience with OpenShift, Kubernetes, Docker, and containerized deployments • Experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory • Understanding of data governance, data security, and compliance best practices • Azure Data Engineer (DP-203) and Databricks certifications mandatory • Advanced English • Python and Azure SQL mandatory skills

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