We are looking for a skilled Data Engineer with 2–3+ years of experience and strong hands-on expertise in Microsoft Azure, SQL, Python, Snowflake, and modern data engineering practices. The ideal candidate should have experience building and optimizing scalable data pipelines, working with cloud-based data platforms, and supporting data integration, transformation, and analytics initiatives.
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Design, develop, and maintain scalable ETL/ELT data pipelines for processing large volumes of data.
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Develop data integration and transformation workflows using Azure data services.
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Build and optimize data models, data warehouses, and data lake solutions.
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Write efficient and scalable SQL queries and Python scripts for data transformation and automation.
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Work with Snowflake for data warehousing, data loading, query optimization, and performance tuning, where applicable.
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Develop and maintain workflow orchestration and data pipeline processes.
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Implement CI/CD practices and deployment automation using Azure DevOps.
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Collaborate with Data Analysts, Data Scientists, Product Managers, and other business stakeholders.
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Ensure data quality, security, governance, and reliability across data platforms.
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Troubleshoot and resolve data pipeline, data quality, and performance-related issues.
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Participate in Agile/Scrum ceremonies and contribute to continuous improvement initiatives.
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2–3+ years of experience in Data Engineering or related roles.
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Strong hands-on experience with Microsoft Azure and Azure Data Engineering services.
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Strong proficiency in SQL and Python.
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Good understanding of ETL/ELT, data pipelines, data warehousing, and data lake concepts.
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Hands-on experience with Azure DevOps, including version control, CI/CD pipelines, and deployment automation.
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Experience working with cloud-based data solutions and modern data engineering practices.
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Hands-on experience with Snowflake is highly preferred.
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Strong problem-solving and analytical skills.
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Good communication and collaboration skills.
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Experience working in Agile/Scrum environments.
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Experience with Apache Airflow or other workflow orchestration tools is a plus.
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Experience with large-scale data migration and modernization projects is a plus.
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Knowledge of data governance and security best practices.
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Relevant Azure, Snowflake, or cloud certifications are a plus.
