AWS Data Engineer

Job Description We are seeking an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and data platforms. The role involves working with large-scale distributed systems and cloud-based data architectures to support both batch and real-time data processing. The engineer will be responsible for building and optimizing data lakes and data warehouses, implementing efficient data modeling strategies, and integrating AI/ML capabilities into data pipelines. This role requires close collaboration with cross-functional teams including data scientists, analysts, and business stakeholders to deliver high-quality data solutions and actionable insights. Required Skills • Strong experience with AWS services: S3, Redshift, Glue, Lambda, EMR, Athena • Expertise in Python, PySpark, and SQL • Hands-on experience with Big Data technologies such as Hadoop and Apache Spark • Experience building and maintaining ETL/ELT data pipelines • Strong understanding of data modeling techniques: Star Schema, Snowflake Schema, Dimensional Modeling • Experience with Infrastructure as Code tools like Terraform • Experience developing dashboards using Power BI • Knowledge of data lake and data warehouse architectures Required Qualifications • Proven experience designing scalable data pipelines for batch and real-time processing • Hands-on experience with distributed data processing systems • Strong understanding of data quality, governance, and security best practices • Experience working in cloud-based data environments, preferably AWS • Ability to collaborate with cross-functional teams and stakeholders Additional Skills • Exposure to AI/ML frameworks such as SageMaker or TensorFlow • Experience integrating machine learning models into data pipelines • Strong problem-solving and performance optimization skills • Experience monitoring and optimizing cloud-based data systems