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Urgent! Data Engineer - Python/SQL Job Opening In India, India – Now Hiring TESTQ Technologies Limited

Data Engineer Python/SQL



Job description

<p><p><b>Role Overview : </b><br/><br/>We are looking for a skilled Data Engineer with deep expertise in the Data Vault 2.0 modeling framework and strong capabilities in SQL, Python, and DBT to develop scalable, efficient data pipelines.<br/><br/> The ideal candidate will play a key role in designing, building, and maintaining data architectures that empower data analytics and business intelligence teams.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design and develop robust data pipelines using SQL, Python, and DBT, ensuring clean, transformed, and reliable data delivery.<br/><br/>- Implement and optimize Data Vault 2.0 modeling techniques alongside building Star Schemas to support downstream analytics and reporting.<br/><br/>- Build and maintain DBT models that align with Data Vault 2.0 principles and scalable data architectures.<br/><br/>- Work extensively with Snowflake data warehousing platform to ensure data storage and querying efficiency.<br/><br/>- Apply CI/CD best practices for data pipelines to enable continuous integration and deployment, enhancing reliability and agility.<br/><br/>- Leverage version control tools like GitHub and productivity enhancements such as GitHub Copilot for efficient code development and collaboration.<br/><br/>- Collaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into technical specifications.<br/><br/>- Monitor and troubleshoot data workflows to ensure pipeline performance, data quality, and system availability.<br/><br/><b>Required Skills and Qualifications : </b><br/><br/>- Strong command of SQL and Python programming languages for data manipulation and pipeline development.<br/><br/>- Hands-on experience and expert understanding of Data Vault 2.0 modeling principles and best practices.<br/><br/>- Proficiency in DBT for data pipeline orchestrations and transformations.<br/><br/>- Experience working with Snowflake or similar cloud-native data warehouses with a focus on scalable architectures.<br/><br/>- Familiarity with CI/CD pipelines, automation tools, and version control (GitHub, GitHub Copilot).<br/><br/>- Ability to design and implement scalable workflows that support high data volumes and complex transformation logic.<br/><br/>- Strong problem-solving skills and keen attention to data integrity and quality.<br/><br/><b>Recommended Experience : </b><br/><br/>- 4 to 7 years of experience in data engineering or related data roles, with at least 2 years specializing in Data Vault 2.0 and modern cloud data platforms<br/><br/></p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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