Senior Data Engineer

Role : Sr Data Engineer Experience : 6+ Yrs Requirements : • Experience in building and operating production big data platforms and pipelines • Strong experience with SQL, Spark, workflow orchestrators, distributed message bus, Python, Presto, Deltalake, apache big data tool suites, Docker, Kubernetes, MPP • Hands on with the design and implementation of cloud-based data solutions using platforms like Azure, AWS, or GCP, optimizing for scalability, cost-efficiency, and performance. • Implement and maintain data lakes and warehouses, lakehouses including data modeling, ETL processes, and data quality assurance to empower data-driven decision-making. • Develop real-time data pipelines using streaming technologies like Apache Kafka or AWS Event hub, enabling timely insights and actions from incoming data streams. • Manage and enhance distributed data systems (e.g., Hadoop, Spark) to efficiently process large-scale datasets, ensuring data availability and reliability. • Previous experience of working on health data and Azure cloud is a strong plus • Experience with Databricks or MS Fabric • Strong track record of designing and implementing scalable data models, schemas, ETL logic • Experience with data governance, master data management, data pseudonimization and anonymization, and data catalog solutions . • A strong interest in learning new things and team player ethics. • Strong analytical skills and good understanding of data structures and algorithms. • Some exposure to Nextflo and or Nextflow Tower Pay: ₹800,000.00 - ₹1,000,000.00 per year Benefits: • Health insurance • Provident Fund Experience: • Data engineer: 5 years (Required) Work Location: In person