Senior Data Engineer - Python / ETL

About the Role :

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and platforms that power analytics, reporting, and machine learning use cases.

This role requires strong technical expertise in distributed data systems, cloud-native architectures, and automation frameworks.

The ideal candidate is passionate about building reliable, high-performance data infrastructure and enabling data-driven decision-making across the enterprise.

Key Responsibilities :

• Data Pipeline Development : Design, develop, and maintain scalable ETL / ELT pipelines for ingesting, transforming, and processing large volumes of structured and unstructured data.
• Platform Engineering : Enhance data-processing frameworks, orchestration workflows, monitoring systems, and CI / CD pipelines leveraging AWS, GitLab, and open-source technologies.
• Optimization & Automation : Identify opportunities to automate manual processes, optimize workflows for efficiency, and re-architect solutions for improved scalability, availability, and usability.
• Collaboration : Partner with product managers, data scientists, and application teams to understand requirements, define data models, and ensure reliable data delivery for analytical use cases.
• Platform Support : Provide guidance, training, and technical support to internal stakeholders consuming platform services.
• Monitoring & Reliability : Establish metrics, implement monitoring tools, and configure alerting mechanisms to proactively track system health, detect anomalies, and ensure SLA adherence.
• Best Practices : Enforce coding standards, data governance policies, and DevOps practices for secure and compliant data solutions.

Qualifications & Technical Skills

Core Expertise :

Cloud & Tools :

Additional Skills :

Preferred Attributes :

(ref : hirist.tech)