
Azure Data Engineer
EXL
full-time
Posted on:
Location Type: Hybrid
Location: Pune • India
Visit company websiteExplore more
About the role
- 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
- Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field.
- 5+ 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
- Health insurance
- Flexible working arrangements
- Paid time off
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETLELTSQLAzure Data FactorySnowflakeDBTdata integrationdata transformationdata qualitydata governance
Soft Skills
collaborationcommunicationproblem-solvingstakeholder engagementtechnical translation