Senior Data Engineer

Job not on LinkedIn

🕒 September 18

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 43%

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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Sequoia Connect

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.

📋 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 for data exchange across enterprise systems • Implement real-time and high-frequency data ingestion frameworks 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 including Azure Data Factory, Azure Databricks, ADLS, 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 • Resilience, emotional intelligence, and focus on agile delivery • Deep understanding of the difference between coding and engineering • Experience with Delta Live Tables (DLT), Auto Loader, and Change Data Capture (CDC) preferred • Knowledge of DataOps, CI/CD, and Infrastructure as Code (IaC) preferred • Familiarity with event-driven architectures and real-time analytics platforms preferred • Azure Data Engineer (DP-203) and Databricks certifications preferred • Familiarity with cloud-native foundations or AI coding assistants preferred • Advanced oral English required for seamless collaboration with global teams • Advanced Spanish required

🏖️ Benefits

• Flexible work arrangement supporting lifestyle • Remote work option depending on specific project needs • Global career opportunities • Exposure to high-impact digital transformation projects • Collaboration with global teams • Professional growth through world-class, high-impact projects

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