The Lead Analytics Engineer will oversee analytics projects, guide data analysis, and collaborate with cross-functional teams to drive decision-making.
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 cross-functional teams, contributing to automation solutions that enhance business processes and efficiency. Key Responsibilities Automation Utility & Accelerator Development Develop Python-based 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 Python-based 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 event-driven 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 analytics-driven 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 knowledge-sharing 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. Hands-on 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 event-driven 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.
Brillio Pune, Mahārāshtra, IND Office
Pune, India
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