Data Engineer & Analyst \Data Pipelines & Analytics (Backend)
DHL (company site, opens in a new tab)3+ yrsChennaiOn-siteDirect career pageEst. 10–18 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect, develop, and maintain scalable data pipelines with Kubeflow, Python, Snowflake, and SQL to enable efficient data ingestion and transformation.
- Design Snowflake-based data models optimized for AI/ML applications, supporting predictive analytics and anomaly detection.
- Maintain documentation and version control of data workflows using GitHub and contribute to data governance for quality and compliance.
Minimum Requirements
- Bachelor or Master degree in Computer Science, Data Engineering, Data Science, or related technical discipline.
- Minimum 3 years hands-on experience in data engineering or analytics.
- At least 3 years experience with Kubeflow, Python, Snowflake, and SQL for data pipeline development and modeling.
- On-site work required; schedule aligned with standard Indian business hours; English language proficiency required.
Ideal Candidate Profile
- Experienced in designing and engineering operational data pipelines and AI/ML-ready data models with strong data governance practices.
- Comfortable collaborating with data scientists and business analysts to support machine learning lifecycle and business insights generation.
- Skilled in documentation, version control (GitHub), and creating measurable impact in dynamic, cross-functional environments.