Data Engineer• 3-10 years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing.• Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).• Proficiency in programming languages such as Python, PySpark• Deep understanding of microservices architecture and distributed systems.• Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.• Experience with big data technologies like Apache Spark, Kafka, and Snowflake.• Strong problem-solving and performance optimization skills.• Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes.