Location
Job description
Senior Python Engineer (AWS/Terraform/PySpark/AI/ML) Location: Wilmington, DE (Locals Candidates OR Nearby States) Visa: H1B/USC/H4-EAD/L2S/TN
Skillsets: Python, AWS, Terraform, AI/ML
JD:-Expert proficiency in Python programming language with strong coding and problem-solving skills Strong experience in PySpark, including Spark SQL and distributed data processing using Spark APIs Experience in testing and debugging applications using Python testing frameworks such as PyTest, PyUnit, etc. In-depth knowledge of Python libraries and frameworks like Pandas, Numpy, Flask, or DjangoHands-on experience with data pipeline and orchestration tools such as Airflow, Kafka, Jenkins, and Spinnaker Strong knowledge of designing scalable, reliable, and high-performance applications Experience working with AWS cloud services such as S3, EC2, Lambda, ECS, EventBridge, etc. Experience with CI/CD pipelines and DevOps practices for automated deploymentsGood to have experience with cloud data warehousing platforms such as Snowflake, DatabricksNice to have exposure to Machine Learning and Al frameworksFamiliarity with Al-assisted development tools such as GitHub Copilot and understanding of Large Language Models (LLMs) for improving developer productivity and building
Skillsets: Python, AWS, Terraform, AI/ML
JD:-Expert proficiency in Python programming language with strong coding and problem-solving skills Strong experience in PySpark, including Spark SQL and distributed data processing using Spark APIs Experience in testing and debugging applications using Python testing frameworks such as PyTest, PyUnit, etc. In-depth knowledge of Python libraries and frameworks like Pandas, Numpy, Flask, or DjangoHands-on experience with data pipeline and orchestration tools such as Airflow, Kafka, Jenkins, and Spinnaker Strong knowledge of designing scalable, reliable, and high-performance applications Experience working with AWS cloud services such as S3, EC2, Lambda, ECS, EventBridge, etc. Experience with CI/CD pipelines and DevOps practices for automated deploymentsGood to have experience with cloud data warehousing platforms such as Snowflake, DatabricksNice to have exposure to Machine Learning and Al frameworksFamiliarity with Al-assisted development tools such as GitHub Copilot and understanding of Large Language Models (LLMs) for improving developer productivity and building
