Data Engineer

1 week ago


surat, India beBeeDataEngineer Full time

We are at the forefront of developing innovative healthcare analytics solutions. Our vision is to create robust, scalable data pipelines that empower nationwide analytics and support our machine learning initiatives.Key ResponsibilitiesData Pipeline Engineering: Design, develop, and maintain high-performing ETL pipelines using Python (Pandas, PySpark) and SQL, orchestrated with Airflow (MWAA). Ensure seamless integration with our data lakehouse infrastructure.Data Lakehouse Management: Develop and maintain our SAIVA Data Lakehouse on AWS, focusing on quality, governance, scalability, and accessibility. Implement efficient data storage and retrieval strategies.Distributed Data Processing: Run and optimize distributed data processing jobs with Spark on AWS EMR and/or EKS. Leverage cloud-native services for efficient data processing and analysis.Data Ingestion Frameworks: Implement batch and streaming ingestion frameworks (APIs, databases, files, event streams). Ensure real-time data availability and reliability.Validation and Quality Assurance: Enforce rigorous validation and quality checks to guarantee reliable analytics and ML readiness. Develop and implement effective data quality metrics.Pipeline Monitoring and Troubleshooting: Monitor and troubleshoot pipelines with CloudWatch, integrating observability tools like Grafana, Prometheus, or Datadog. Ensure proactive issue detection and resolution.Infrastructure Provisioning: Automate infrastructure provisioning with Terraform, following AWS best practices. Ensure scalable and secure infrastructure deployment.Database Integrations: Manage SQL Server, PostgreSQL, and Snowflake integrations into the Lakehouse. Develop and maintain efficient database connections and queries.On-Call Support: Participate in an on-call rotation to support pipeline health and resolve incidents quickly. Collaborate with cross-functional teams for prompt issue resolution.Code Reviews and Engineering Best Practices: Write production-grade code, and contribute to design/code reviews and engineering best practices. Foster a culture of continuous improvement and knowledge sharing.About UsWe're passionate about leveraging data-driven insights to drive business success. Our team collaborates closely to deliver innovative solutions that meet the evolving needs of our organization.Why Join Us?Contribute to cutting-edge projects that impact business outcomes.Collaborate with a talented team of professionals who share your passion for data-driven insights.Develop your skills and expertise through ongoing training and mentorship opportunities.


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