Job Summary
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
Required Skills & Qualifications
- 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
Good to Have (Optional)
- 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
Soft Skills
- 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
