Senior Python Developer

We are seeking a Senior Python Data Engineer to design, develop, and support scalable cloud-native data solutions. The ideal candidate will have strong experience with Python, PySpark, SQL, and AWS, building high-performance data pipelines and distributed processing systems in enterprise environments.Key ResponsibilitiesDesign and develop scalable data pipelines and processing solutions.Build batch and real-time data workflows using Python and PySpark.Develop AWS-based applications and services using serverless and containerized architectures.Build APIs and backend services to support data integrations.Optimize performance, reliability, and scalability of applications and data platforms.Collaborate with cross-functional teams to deliver business solutions.Support testing, deployment, monitoring, and production operations.Required Qualifications5–10 years of software development or data engineering experience.Strong hands-on Python development experience.Experience with PySpark and distributed data processing.Advanced SQL skills and experience working with large datasets.Hands-on experience with AWS services including:S3, Redshift, RDSLambda, EC2, ECS, EMR, AWS BatchExperience building scalable data pipelines and ETL/ELT solutions.Preferred QualificationsExperience with NumPy, Pandas, or Polars.Experience building REST APIs and microservices.Knowledge of cloud-native and event-driven architectures.Experience with Agile and CI/CD practices.Experience working with enterprise-scale data platforms.Technical EnvironmentPython | PySpark | SQL | AWS (S3, Redshift, RDS, Lambda, EC2, ECS, EMR, AWS Batch)