SQL Data Engineer - Python/ETL

<p><p><b>Job Summary : </b><br/><br/>We are seeking a Data Engineer with expertise in SQL, Data Modeling, AWS Glue, Python, and MS Excel.<br/><br/>The ideal candidate will design scalable data solutions, build reliable pipelines, and ensure high-quality, well-modeled data to drive business insights.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design and maintain robust data models to support analytics and reporting needs.<br/><br/>- Develop and optimize ETL pipelines using AWS Glue for scalable data processing.<br/><br/>- Write and tune SQL queries to extract, transform, and analyze large datasets.<br/><br/>- Use Python for data automation, validation, and process improvement.<br/><br/>- Leverage MS Excel for advanced data analysis, reporting, and validation tasks.<br/><br/>- Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions.<br/><br/>- Ensure data accuracy, reliability, and governance across all environments.<br/><br/><b>Requirements : </b><br/><br/>- 5+ years of experience in data engineering or related roles.<br/><br/>- Strong proficiency in SQL for complex query development and optimization.<br/><br/>- Expertise in data modeling techniques (relational and dimensional).<br/><br/>- Hands-on experience with AWS Glue for building and managing ETL pipelines.<br/><br/>- Proficiency in Python for scripting and workflow automation.<br/><br/>- Advanced MS Excel skills for reporting, validation, and analysis.<br/><br/>- Excellent problem-solving skills, attention to detail, and ability to work in a collaborative environment.</p><br/></p> (ref:hirist.tech)