Azure Lead Data Engineer
About the Role
Azure Lead Data Engineer
Key Skills for This Role
Full Job Posting
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
- 8+ years of experience in data engineering roles using Azure and Snowflake.
- Strong problem-solving, communication, and collaboration skills.
- Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. - 8+ years of experience in data engineering roles using Azure and Snowflake. - Strong problem-solving, communication, and collaboration skills.
Responsibilities
- Key Responsibilities: - 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.
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
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