Senior Data Engineer at Reliance HMO

​Role Summary 

• ​As a Senior Data Engineer you will drive the architectural paradigm and good practices that will allow Reliance Health data practice and tools to scale effectively.  
• ​Joining us, your work will have an immediate influence on the shape of the tools and data consumed by teams across the company. 
• ​Your depth of experience and past achievements will speak for itself, having helped deliver on Data projects that have had significant impact.  
• ​You have developed tools and defined standards which have helped different data teams achieve efficiency and reduce cognitive load while providing mentoring and leadership where necessary.  

​Examples of projects in your day to day: 

• ​Implement a robust batch ingestion solution after benchmarking platform options across the market, ensuring observability and privacy requirements are met. 
• ​Desgin, develop and Implement the stream ingestion pipelines for events coming from our mobile apps to enable Product Analytics. 
• ​Drive the productionsation of a new Pricing model, in collaboration with Data Science 
• ​Providing tooling to automate regulatory reporting extracts, put in place real-time (or pseudo-real-time), build graph visualization tools to better understand fraud patterns. 

Job Responsibilities:

• Design, review and improve Reliance Health Data tools through iterative architectural and technology techniques. 
• Build and improve our data products. Ranging from data pipelines to ML microservices. 
• Drive the scaling of Reliance Data assets (data pipeline resilience, privacy, dependency management, cost effectiveness) 
• Mentor & share technical expertise with engineers, data scientists, data engineers, and analysts. 
• Manage multiple projects and priorities simultaneously. 
• Be on top of new technologies and industry trends. 
• Promote best in class operations standards, taking inspiration from the thought leaders in the industry. 

Requirements

• Proven track record of best practices and data modelling definition with different enterprise data architecture models (warehouse / lake / lake house / mesh) in a Modern Data Stack environment (i.e. Python, Glue, Kafka, Spark, FastAPI, Snowflake, dbt). 
• Experience building and maintaining Data Platform products. 
• Significant experience in data software development, including relational and NoSQL databases, Python, Scala, and big data technologies like Spark and Hadoop. 
• Proven record of building data products with a focus on quality assurance, reliability, availability, and scalability. 
• Experience in implementing data protection measures to protect consumers' personal data and privacy against data loss or exposure.  
• Proven experience in integrating data from multiple sources, including databases, streams, product tracking, and APIs. 
• Strong data modelling and SQL skills. 
• Familiarity with orchestration tools (Airflow, Luigi, Dagster) and cloud infrastructures (AWS, Azure or GCP). 
• Working knowledge of agile development, including DevOps and DataOps concepts. 
• Change management skills and adaptability in a fast-paced environment. 
• Excellent verbal and written communication in English. 

Good to have:

• 5+ years of experience in Cloud Computing or Architecture, preferably with AWS. Proficiency in AWS native tools such as ECS, and EKS.  
• Experience in the design and implementation of data software in a microservices-oriented architecture and develop extensible REST APIs. 
• Experience with automation/IaC tools, version control systems, deployment & CI tools, and containerized services like Kubernetes. 
• Knowledge of Cloud DevOps Concepts, Cloud Services, and Architecture. 
• Deep understanding of message delivery systems, streaming processing, data processing technology stacks, and storage technologies. 
• Solutions architect certification in AWS.

Benefits

• Work alongside & learn from best-in-class talent
• Join a market leader within the HealthTech space
• Attractive Salary & benefits
• Unlimited leave days
• Fantastic work culture
• Great work-life balance