Sequoia Connect
Recruitment • HR Tech • Enterprise
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.
11 - 50 employees
🎯 Recruiter
👥 HR Tech
🏢 Enterprise
Azure Data Engineer
Job not on LinkedIn
September 7
🗣️🇪🇸 Spanish Required
Sequoia Connect
Recruitment • HR Tech • Enterprise
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.
11 - 50 employees
🎯 Recruiter
👥 HR Tech
🏢 Enterprise
📋 Description
• Design and implement data pipelines with Azure Data Factory (ADF) for ingestion, transformation, and orchestration. • Develop and optimize SQL/T-SQL queries and stored procedures for data processing. • Build scalable solutions in Azure Synapse Analytics (data modeling, partitioning, performance tuning). • Implement and support data lake and warehouse architectures using ADLS Gen2 and Synapse. • Ensure data quality, security, and governance with best practices. • Monitor, debug, and optimize ETL pipelines for performance and reliability. • Automate data transformation and scheduling processes. • Contribute to CI/CD pipelines and DevOps practices. • Collaborate with architects, BI developers, and stakeholders to deliver high-quality solutions.
🎯 Requirements
• 5+ years in data engineering • 2–3 years on Azure • Hands-on experience with ADF, Azure Synapse Analytics, and Azure SQL Database • Strong SQL/T-SQL proficiency and performance tuning skills • Knowledge of ADLS Gen2, data modeling, and data warehouse concepts • Experience integrating multiple data sources (REST APIs, DBs, flat files) • Familiarity with CI/CD, Git, and agile methodologies • Understanding of data security, privacy, and governance • Desired: Experience with Power BI, Azure Databricks, or Python • Languages: Advanced Oral English, Native Spanish
🏖️ Benefits
• Fully remote
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