Data Engineer

Job Summary We are looking for a talented and motivated Data Engineer with 3 to 6 years of experience to join our data engineering team. The ideal candidate will have strong SQL skills, hands-on experience with Snowflake, ETL tools like Talend, DBT for transformation workflows, and a solid foundation in AWS cloud services. Key Responsibilities Design, build, and maintain efficient and reliable data pipelines using SQL, Talend, and DBT Develop and optimize complex SQL queries for data extraction and transformation Manage and administer Snowflake data warehouse environments Collaborate with analytics, product, and engineering teams to understand data requirements Implement scalable data solutions on AWS (e.g., S3, Lambda, Glue, Redshift, EC2) Monitor and troubleshoot data workflows and ensure data quality and accuracy Support deployment and version control of data models and transformations Write clear documentation and contribute to best practices Required Skills And Qualifications 3 to 6 years of experience in data engineering or related fields Strong expertise in SQL and performance tuning of queries Hands-on experience with Snowflake (data modeling, security, performance tuning) Proficiency with Talend for ETL development Experience with DBT (Data Build Tool) for transformation workflows Good knowledge of AWS services, especially data-centric services (S3, Lambda, Glue, etc.) Familiarity with Git-based version control and CI/CD practices Strong analytical and problem-solving skills Show more Show less