Apply for Python Developer Job

5+ Relevant Experience

• Strong in SQL and Python, 5+ years experience.
• Experience with big data frameworks (i.e. Hadoop and Spark), 5+ years experience.
• Experience building automated data pipelines, 5+ years of experience.
• Experience performing data analysis and data exploration, 5+ years experience.
• Experience working in an agile delivery environment.
• Strong critical thinking, communication, and problem-solving skills.
• Experience with cloud based platforms (i.e. Azure, GPC, AWS).
• Experience working in multi-developer environment, using version control (i.e. Git).
• Experience with orchestrating pipelines using tools (i.e. Airflow, Azure Data Factory).
• Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming).
• Experience with API build Exposure/understanding DevOps best practice and CICD (i.e. Jenkins) Exposure/understanding of containerization (i.e. Kubernetes, Docker).

Responsibilities

• Perform data analytics on big data to solve and propose solutions to complex business problems.
• Develop and enhance end-to-end data pipelines using a big data processing technology stack (e.g. Hadoop, Cloud, Spark ecosystem technologies).
• Troubleshoot complex data structures and perform root cause analysis to proactively resolve product and operational issues.
• Develop and document test cases for new features, execute testing, and document and share business UAT testing results as a part of agile sprints.
• Perform end-to-end data pipeline integration testing in adherence to change management standards and processes.
• Understand and adhere to coding and application standards and design (e.g. Python, SQL, etc.).
• Utilize DevOps best practices to deploy new features into production systems, including continuous integration/continuous delivery (CICD), test-driven development, and proper version control (e.g. Jenkins, Jira, GIT).
• Collaborate with business partners to define product objectives, business requirements, system design, and key performance indicators.
• Python, SQL, Hadoop, Spark, Azure Data Factory, Azure or GCP Cloud Airflow, Data pipelines, Jenkins / Jira / Git, CICD, Kubernetes / Docker.