Senior Data Engineer

This is a remote position.

• Deliver quality products and services.
  
• Achieve the satisfaction of our internal and external clients.
  
• Encourage in our team the importance of training to grow professionally and personally through development plans.
  
• Comply with the applicable legal and regulatory requirements.
  
• Promote continuous improvement of the quality management system.
  

• You are expert in data architecture.
  
• You are proficient in Azure Data Lake, Databricks, ELT (Extract, load, transform), and ETL (Extract, transform, load).
  
• English - English - Native or fully fluent.
  

• Design, develop, and maintain scalable data architectures using SQL Server, Azure SQL Database, and Snowflake on Azure.
  
• Implement and manage data pipelines using Azure Data Factory, supporting ETL and ELT processes.
  
• Work with SQL Change Data Capture (CDC) along with Debezium to enable real-time and incremental data processing.
  
• Work with Streaming technologies such as Kafka and Azure Event Hub to deliver near real time analytics and reporting.
  
• Manage Azure Data Lake to store and process structured and unstructured data efficiently.
  
• Design and optimize Data Vault and Star Schema models for data warehousing solutions.
  
• Develop and maintain ETL/ELT workflows using Python and SQL-based tools.
  
• Leverage Databricks for big data processing, machine learning, and advanced analytics.
  
• Ensure data quality, governance, and security across multiple data environments.
  
• Build and maintain analytical reports using Sigma
  
• Collaborate with business stakeholders and data analysts to ensure data solutions align with business needs.
  
• Monitor and troubleshoot data pipelines to ensure reliability, accuracy, and efficiency.
  
• Support disaster recovery planning and high-availability data strategies.
  
• Stay up to date with emerging data engineering technologies and best practices.
  

Requirements

• 5-7 years of experience as a data architect or senior-level data engineer.
  
• Expertise in SQL Server (SSMS, T-SQL, SSIS, SSRS, SSAS) and Azure SQL Database.
  
• Strong experience in data modeling, including Data Vault and Star Schema methodologies.
  
• Proficiency in ETL/ELT development and data pipeline management.
  
• Hands-on experience with Snowflake on Azure and Databricks for big data processing.
  
• Experience working with streaming technologies (e.g., Kafka, Flint, Event Hub)
  
• Strong analytical and problem-solving skills with a focus on data integrity and scalability.
  
• Knowledge of Python for data transformation, automation, and analytics is a bonus.
  

• Ability to sit or stand for extended periods of time as required.
  
• Ability to work in a fast-paced, deadline-driven environment with minimal supervision.
  

Benefits

• We're certified as a Great Place to Work.
  
• Opportunities for advancement and growth.
  
• Paid time off.
  
• Formal education and certifications support.
  
• Benefits with partner companies.
  
• Referral program.
  
• Flexible working hours.