Data Engineering Leader
3 days ago
About Asper.ai, a leader in decision-making at the intersection of demand and supply.
We're transforming organizations with our innovative 'autonomic decisioning' platform, helping them unlock growth and become adaptive, intelligent enterprises.
Our solution empowers companies to optimize workflows, enhance their bottom-line results, and make proactive, interconnected, and automated decisions.
Senior Data EngineerBased in Bangalore, this role offers a hybrid work arrangement.
As a Senior Data Engineer, you'll report directly to the Director-Engineering and lead individual contributor teams.
Why This Role MattersIn this key position, you'll develop and manage scalable data solutions for the Consumer-Packaged Goods (CPG) sector.
You will ensure data systems' accuracy, performance, and integration, enabling crucial insights into consumer behavior and supply chain efficiency.
Your contributions will drive data-driven strategies that fuel product innovation and business growth.
Main Responsibilities- Data Pipelines Development: Build, support, and scale ETL processes (extraction, transformation, loading) for our SaaS AI applications and Predictions-as-a-Service offerings.
- Pipeline Maintenance: Deploy and maintain data pipelines using orchestration tools like Kubeflow and Airflow.
- Data Pipeline Auditing: Own, audit, and optimize multiple data pipelines, ensuring scalability and performance.
- Cross-Functional Collaboration: Collaborate with AI/ML, DevOps, MLE, and product teams to deliver efficient software solutions.
- Documentation: Document and communicate technical designs, timelines, and project plans.
- Pipeline Support: Support deployed pipelines through performance enhancements and bug fixes.
- Team Engagement: Engage in cross-team activities to promote Asper's mission and culture.
- Programming Languages: Strong coding skills in Python, Py Spark, and SQL.
- ETL Process Expertise: Experience building, optimizing, and maintaining Spark pipelines in production environments.
- Real-Time Monitoring: Proven experience with scalable ETL processes, including real-time monitoring and alerting.
- Orchestration Tools: Familiarity with orchestration technologies like Airflow and Kubeflow.
- Cloud Platforms: Experience with cloud platforms like AWS or Azure.
- Developer Tools: Proficiency with essential developer tools, including GitHub, Docker, and VSCode.
- Performance Optimization: Ability to perform performance optimization for large-scale data ingestion.
- Fast-Paced Environment: Thrive in a fast-paced, deadline-driven environment.
This role comes with a salary range of $150,000 - $180,000 per year.
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