Senior Python Developer

• Design 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.

Do you have experience in Spark implementation?, 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., * 5-10 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, RDS
• Lambda, EC2, ECS, EMR, AWS Batch

• Experience building scalable data pipelines and ETL/ELT solutions., * Experience 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 Environment