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