Lead Analytics Engineer - R
Lead Analytics Engineer - R
Posted on :
10-04-2025
Employer Active
1 Vacancy
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Job Description
Lead Analytics Engineer
Primary Skills
- Ansible Flask Python Django Terraform RabbitMQ Kafka GCP Workflows Adobe Analytics
Specialization
- Digital Analytics Optimization: Lead Analytics Engineer
Job requirements
- Job Description: Python Developer Automation Utilities & Adobe Integrations Job Location: India Work Mode: Hybrid Job Overview We are looking for a skilled Python Developer to develop and optimize automation utilities and accelerators focusing on integrating with Adobe applications (Adobe I/O AEP Adobe Analytics etc.. The role requires experience in Python scripting API development automation frameworks and cloud integration. The ideal candidate will collaborate with crossfunctional teams contributing to automation solutions that enhance business processes and efficiency. Key Responsibilities Automation Utility & Accelerator Development Develop Pythonbased automation utilities and frameworks to streamline workflows. Build custom accelerators for data processing workflow automation and cloud integrations. Optimize automation scripts and libraries for better performance and scalability. Adobe Integrations & API Development Integrate Pythonbased automation solutions with Adobe I/O AEP APIs Adobe Analytics APIs and Adobe Target APIs. Develop RESTful and GraphQL APIs for seamless automation across systems. Work with eventdriven automation using Adobe I/O events Kafka RabbitMQ or AWS SQS. Cloud & DevOps Automation Deploy automation utilities on AWS Azure or Google Cloud Platform (GCP). Implement infrastructure as code (IaC) automation using Terraform Ansible or CloudFormation. Integrate automation scripts into CI/CD pipelines (Jenkins GitHub Actions GitLab CI/CD etc.. Scripting & Workflow Optimization Automate manual and repetitive tasks related to data ingestion API interactions ETL pipelines and Adobe ecosystem workflows. Optimize automation workflows for scalability performance and reliability. Implement A/B testing and analyticsdriven automation to enhance business workflows. Testing & Quality Assurance Write and maintain unit tests and integration tests using PyTest Unittest or Robot Framework. Collaborate with DevOps teams to integrate automated testing within CI/CD pipelines. Ensure data security and compliance with industry standards. Collaboration & Documentation Work closely with developers DevOps engineers and Adobe consultants to define automation requirements. Document best practices reusable scripts and accelerator frameworks. Participate in code reviews and knowledgesharing sessions within the team. Qualifications Required Skills & Experience 3 years of experience in Python development focusing on automation utilities and API integrations. Strong expertise in Python scripting multithreading and performance optimization. Experience with API development (FastAPI Flask Django) and API integrations. Handson experience with Adobe I/O AEP APIs Adobe Analytics APIs or Adobe Target APIs. Strong knowledge of cloud automation (AWS Azure GCP) and infrastructure as code (Terraform Ansible CloudFormation). Experience with CI/CD pipelines Git and DevOps practices. Familiarity with eventdriven automation using Kafka RabbitMQ or AWS SQS. Preferred Skills Exposure to big data processing (Spark Hadoop Airflow) for automation. Familiarity with containerization and orchestration (Docker Kubernetes). Knowledge of security best practices in automation and API development.
Employment Type
Full-Time
Key Skills
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