Sequoia Connect

Azure Data Engineer

Sequoia Connect

full-time

Posted on:

Location: 🇲🇽 Mexico

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Job Level

Mid-LevelSenior

Tech Stack

AzureCloudETLPythonSQL

About the role

  • 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
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