AWS Data Engineer

As an experienced AWS Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines and solutions using AWS services. Your role will involve working with big data technologies, modern ETL tools, and cloud-native platforms to deliver efficient, secure, and high-performing data solutions. Key Responsibilities: - Build and optimize scalable data pipelines using AWS Glue, Redshift, and Lambda. - Develop ETL/ELT workflows using Python, PySpark, and Spark. - Integrate diverse data sources into centralized data platforms. - Design and maintain data models, warehouse solutions, and schemas. - Ensure performance tuning, data quality, and security best practices. - Collaborate with cross-functional teams (Data Scientists, Analysts, Architects) to deliver business-driven solutions. - Monitor, troubleshoot, and optimize existing data processes and workflows. Required Skills & Qualifications: - 5+ years of experience in AWS data engineering. - Strong hands-on expertise with AWS Glue, Redshift, Lambda. - Proficiency in Python & PySpark for ETL/ELT. - Good knowledge of MySQL and data warehousing concepts. - Experience with Spark for big data processing. - Strong problem-solving, debugging, and collaboration skills. Good to Have: - Exposure to AWS services like S3, Athena, Kinesis. - Knowledge of CI/CD pipelines and DevOps practices. - Familiarity with BI tools (Tableau, Power BI, QuickSight).,