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Key skills for this role
Design and maintain robust, scalable data pipelines using Kubeflow, Python, and Snowflake, ensuring optimal performance and reliability.
Follow best practice standards for deployment and the use of CI/CD tools.
Govern end-to-end data architecture with a focus on data quality, security, compliance, and lifecycle management.
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Expertise in Requirements engineering and refinement
Build efficient and scalable data models ensuring optimal query performance and responsiveness.
Ensure seamless data flow across ingestion layers, data models, and visualization outputs.
Conduct in depth data analysis to identify trends, variances, and improvement opportunities, transforming insights into clear and actionable recommendations for business stakeholders.
Translate complex datasets into actionable insights through Power BI dashboards.
Apply DAX and Power Query techniques to create dynamic, user friendly, and high performance visualizations for operational and analytical use cases.
Collaborate with business stakeholders, strategy, and IT stakeholders to define KPIs, reporting standards, and analytical models that support strategic decision-making.
Perform ad-hoc analysis and maintenance tasks.
Maintain version control, documentation, and workflow traceability in GitHub to ensure transparency, reproducibility, and collaboration across teams.
Work closely with business stakeholders to gather requirements, validate outputs, and iteratively refine solutions.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
Minimum 3 years of experience in data engineering, analytics, or business intelligence
Schedule: Standard Indian business hours.
Work Model: On‑site.
Global Collaboration: May require occasional work outside of standard hours.
Performance Metrics: Success measured through response time, resolution rate, and customer satisfaction scores.
Global provider of logistics, courier, and postal services.
Visit company websiteJobs and hiring trendsFull-time
Mid · 3+ years experience
Onsite
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