Cloud Data Engineer + Qa

2 weeks ago

Delhi, India Whatjobs IN C2 Full time

Cloud Data Engineer + QA Location: PAN India (Hybrid) Experience: 3+ years Employment Type: Full-time Domain: Cloud Data Modernization | Data Engineering | Quality Assurance Position Overview We are seeking a skilled and detail-oriented Cloud Data Engineer with QA to join our team for a Cloud Data Modernization initiative. The role involves migrating an on-premises Enterprise Data Warehouse (SQL Server) to a modern cloud-based data platform using Azure and Snowflake . The ideal candidate will bring a blend of data engineering, cloud platform experience, and data quality assurance. Required Qualifications 3+ years of experience as a Cloud Data Engineer Strong hands-on experience with Azure Cloud data tools : Azure Data Factory (ADF) Self-hosted Integration Runtime (SHIR) Logic Apps Azure Data Lake Storage Gen2 (ADLS Gen2) Blob Storage Expertise in Snowflake for cloud data warehousing Proficient in ETL development using SQL Server , SSIS , and T-SQL Solid scripting skills in Python for data processing and validation Experience implementing CI/CD pipelines using GitHub Actions Familiarity with Agile methodologies Proven experience in data validation , unit testing , and QA for data migration projects Strong analytical mindset and attention to detail Excellent communication and collaboration skills Ability to work independently and adapt to new technologies quickly Preferred Qualifications Experience with data modeling and database design Knowledge of data governance and data quality best practices Hands-on development experience in Databricks for data engineering and analytics workloads Familiarity with other cloud platforms: AWS , Google Cloud Certifications in Azure or Snowflake (preferred) Key Responsibilities Design, develop, and implement scalable data platform solutions using Azure and Snowflake Migrate and modernize on-premises ETL pipelines (SSIS, T-SQL) to cloud-native solutions Build and optimize data pipelines using ADF, SHIR, Logic Apps, and ADLS Gen2 Implement DevOps practices and CI/CD workflows using GitHub Actions Collaborate with cross-functional teams to ensure seamless data integration and delivery Conduct thorough data validation and QA testing to ensure consistency and accuracy Troubleshoot and optimize data workflows for performance and reliability Ensure compliance with data security and industry standards

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