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Tech Stack
Tools & technologiesAzureCloudETLSQL
About the role
Key responsibilities & impact- Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
- Build and maintain data integration workflows from various data sources to Snowflake.
- Write efficient and optimized SQL queries for data extraction and transformation.
- Work with stakeholders to understand business requirements and translate them into technical solutions.
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
- Maintain and enforce data quality, governance, and documentation standards.
- Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.
Requirements
What you’ll need- Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field.
- 4+ years of experience in data engineering roles using Azure and Snowflake.
- Strong experience with Azure Cloud Platform services.
- Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines.
- Proficiency in SQL for data analysis and transformation.
- Hands-on experience with Snowflake and SnowSQL for data warehousing.
- Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse.
- Experience working in cloud-based data environments with large-scale datasets.
Benefits
Comp & perks- None specified 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
ATS Keywords
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Hard Skills & Tools
ETLELTSQLdata integrationdata transformationdata qualitydata governancedata warehousingdata analysisdata pipelines
Soft Skills
collaborationcommunicationproblem-solvingstakeholder engagementtechnical translation
