Job Purpose
Seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data platforms, ETL processes, and AI-enabled data solutions. The ideal candidate will have robust expertise in up-to-date data engineering practices, cloud-native technologies, DevOps automation, and generative AI integrations. This role requires hands-on experience developing robust data pipelines, managing containerized applications, and supporting enterprise-grade data infrastructure.

Key Responsibilities
Design, develop, and maintain scalable ETL workflows and data pipelines that support business-critical applications and analytics.
Build and manage data orchestration workflows using Apache Airflow.
Develop high-quality, production-ready solutions using Python.
Implement and maintain CI/CD pipelines leveraging GitHub Actions.
Manage source control, branching strategies, and code reviews through GitHub repositories.
Deploy, monitor, and optimize applications running on Azure Kubernetes Service (AKS).
Develop and maintain containerized solutions using Docker.




Integrate and support Generative AI solutions utilizing OpenAI and Anthropic Claude models.
Collaborate with data scientists, ML engineers, and business stakeholders to deliver reliable data products.
Ensure data quality, monitoring, observability, security, and governance standards are met.
Troubleshoot production issues and drive continuous improvement across data engineering platforms.
Document architecture, processes, and best practices for enterprise data solutions.

Key competencies
Essential Skills
Bachelor’s or master’s degree in computer science, Engineering, Information Technology, or a related field.
7–10 years of experience in data engineering, software engineering, or related technical disciplines.
Solid hands-on experience with:
Python
GitHub and Git-based development workflows
GitHub Actions CI/CD
Azure Kubernetes Service (AKS)
Apache Airflow
Docker
Buildi

📌 Senior Data Engineer Pune Division (India)
🏢 Acuity Analytics
📍 India