Tech Stack
AzureCloudETLPythonSQL
About the role
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support business intelligence and analytics initiatives.
- Architect and implement data solutions in Azure, leveraging services such as Azure Data Factory, Azure SQL Database, Azure Synapse, and Azure Storage.
- Integrate data from various sources including SQL Server, Debezium change data capture (CDC) streams, Snowflake, and other third-party platforms.
- Implement and manage dbt (Data Build Tool) transformations to create modular, testable, and maintainable data models.
- Optimize and manage data warehouses and data lakes to support reporting, analytics, and machine learning workloads.
- Ensure data quality, governance, and security across the entire data ecosystem.
- Monitor pipeline performance, troubleshoot issues, and ensure high availability and data integrity.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
- 3+ years of experience in data engineering or a related role.
- Strong hands-on experience with Azure cloud services (e.g., Data Factory, Synapse, Data Lake, Functions, Logic Apps).
- Expertise in SQL and experience with Azure SQL and SQL Server.
- Experience implementing Debezium for CDC pipelines.
- Proficiency with dbt for data modeling and transformation.
- Strong knowledge of Snowflake including performance tuning, schema design, and data loading.
- Experience working with multiple site analytics data sources (e.g., Google Analytics, Adobe Analytics, etc.).
- Solid understanding of data warehousing concepts, data modeling, and ETL/ELT best practices.
- Proficiency in Python programming language for data processing.
- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringETLELTSQLPythondbtSnowflakedata modelingdata warehousingdata quality