Data Engineer

Overview

We are looking for a motivated Data Engineer with 2 - 5 years of experience to design, build, and maintain scalable data pipelines and data solutions. The ideal candidate will have hands-on experience with Snowflake, Azure Data Factory (ADF), and strong SQL skills. Knowledge of Python is a plus.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines using Azure Data Factory
• Build and optimize data models and warehouses in Snowflake
• Write efficient and optimized SQL queries for data transformation and analysis
• Ensure data quality, accuracy, and reliability across pipelines
• Monitor and troubleshoot data pipeline failures and performance issues
• Collaborate with data analysts, BI teams, and stakeholders to understand data requirements
• Implement best practices for data security, governance, and documentation
• Support ongoing enhancements and production issues
  
  

• 1–3 years of experience as a Data Engineer or similar role
• Hands-on experience with Snowflake Data Warehouse
• Strong experience with Azure Data Factory (ADF)
• Proficiency in SQL (query optimization, joins, CTEs, performance tuning)
• Understanding of data warehousing concepts (star/snowflake schema)
• Experience working with structured and semi-structured data
  
  

• Working knowledge of Python for data processing or automation
• Experience with Azure services (Azure Blob Storage, ADLS)
• Familiarity with version control tools like Git
• Exposure to CI/CD pipelines for data workflows
  
  

• Strong problem-solving and analytical skills
• Good communication and teamwork abilities
• Willingness to learn new tools and technologies
• Attention to detail and ownership of tasks