Job Summary: We are seeking a highly skilled Data Engineer with a strong background in Python, PySpark, and SQL to join our growing team. The ideal candidate will bring hands-on expertise in developing and deploying data solutions using core AWS services. This role is critical for designing scalable data pipelines, optimizing data workflows, and supporting our cloud-based infrastructure. Key Responsibilities: • Develop, test, and maintain robust data pipelines using Python and PySpark. • Design and implement scalable solutions using AWS services including Lambda, S3, Glue, EMR, Step Functions, SNS, and SQS. • Write complex SQL queries to extract, transform, and analyze data across multiple sources. • Leverage GitLab for source control and CI/CD processes. • Use Terraform for infrastructure as code and environment provisioning. • Collaborate with cross-functional teams including data scientists, analysts, and DevOps engineers. Required Qualifications: • Strong proficiency in Python and PySpark for data engineering tasks. • Advanced SQL skills for data manipulation and transformation. • Hands-on experience with AWS services: Lambda, S3, Glue, EMR, Step Functions, SNS, and SQS. • Experience with version control systems, preferably GitLab. • Familiarity with infrastructure as code using Terraform. Preferred Qualifications: • Experience working in a cloud-native environment. • Strong problem-solving skills and the ability to work independently or as part of a team. • Background in big data and distributed systems is a plus. We are an Equal Opportunity Employer committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, gender identity, national origin, disability, or veteran status. We value diverse perspectives and actively seek to create an inclusive environment that celebrates the unique qualities of all employees.