Data Engineer

Advanced Software Architect

Position Responsibilities :

• Lead the architecture and development of AI-powered, distributed systems that meet enterprise-grade performance and security standards.
• Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality.
• Design, build, and maintain services using Python, Java, and Node.js, following clean-code and secure design principles.
• Develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements.
• Collaborate with cross-functional teams to define modular, scalable, and compliant architecture patterns.
• Conduct technical design reviews and produce detailed documentation, including system specifications, API docs, and architecture diagrams.
• Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards are met.
• Implement robust monitoring and performance engineering practices to maintain high-quality deployments.
• Continuously evaluate emerging AI technologies and integrate them into development workflows for maximum impact.
• Champion best practices in security, automation, and performance optimization across the organization.

Qualifications :

• 8+ years in software engineering with full-stack or backend development in Python, Java, and/or Node.js.
• 3+ years with AI tools for development, prototyping, or documentation tasks.
• Experience with cloud-native development and containerized deployment (Docker, Kubernetes).
• Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines.
• Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models.
• Comfortable with Gen AI-first environments and working with remote Agile teams.

Preferred Qualifications

• Experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks.
• Experience working in a fast-paced, AIDLC environment, with a strong understanding of CI/CD practices.
• Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools.
• Containerization and Orchestration: Proficiency in Docker and Kubernetes for containerization and orchestration.
• Cloud Platforms: Experience with cloud computing platforms such as AWS, Azure, or OCI Cloud.

Position Overview:

We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.

Key Responsibilities:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
• Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
• Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
• Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
• Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
• Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.

Specific Responsibilities for RWE Analyst (Junior):

• Perform statistical analysis on real-world healthcare datasets under guidance.
• Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
• Prepare and clean data for analysis, identifying and addressing data quality issues.
• Assist in the interpretation of study results and the drafting of reports or presentations.
• Support the preparation of journal publication materials based on RWE studies.

Specific Responsibilities for Senior RWE Analyst:

• Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
• Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
• Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
• Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
• Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.

Qualifications:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
• Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
• Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
• Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.

Specific Qualifications for RWE Analyst (Junior):

• 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
• Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).

Specific Qualifications for Senior RWE Analyst:

• 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
• A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
• Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.

Preferred Skills (for both roles, but more emphasized for Senior):

• Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
• Knowledge of common data models (e.g., OMOP CDM).
• Familiarity with regulatory guidelines and best practices for RWE generation.

Customer Happiness is one of our key differentiators. In this role you will be the customer champion for Exotel, thrive to create great customer experience while responding to customer inquiries, resolving their queries and ensure all the agreed SLA’s are met consistently. In this role, you will be working with internal and external stakeholders with high level of ownership on your deliverables with customer first approach.

Exotel is one of Southeast Asia’s largest cloud telephony companies. Our aim is to change the way enterprises look at customer communication. We build the best in class communication products that power the companies of today and tomorrow. Our technology enables customer communication for our clients such as Uber, Ola, Go-Jek, Redbus, Flipkart, Quikr, Practo,Lazada, Redmart, to name a few.

We are a young company with humble beginnings in 2011 that grew  from a 3 member team to 150+ employees in 2018. Our technology has connected 85 million people, powered 1.2 billion customer calls, powered 3.2 billion voice API calls, 3.2 billion business SMS powered. Read our 2018 growth story https://2018.exotel.com/">here.

• You enjoy customer interactions and solving problems on behalf of our customers is something that you are passionate about.
• You enjoy resolving customer issues and providing feasible solutions.
• You have dual qualities of time management, patience and ability to speak to customers with confidence and conviction.
• You consistently thrive for excellence.

• You will be the voice of the Enterprise customer sand help customers with issues related to the platform. You will be responsible for addressing and resolving tickets from enterprise customers while adhering to SLAs.
• You will document customer pain points to help in process improvement. You will also surface customer feedback to product and engineering teams to drive improvements in the product.
• You will explore customer data to identify trends with the objective of issue resolution.
• You will resolve customer issues through process expertise without having to escalate to higher levels of management but also understands when higher level of authorization is required.
• You will effectively interact, collaborate and network with other departments to resolve customer issues, including account management, technical support, product and engineering teams.
• You will be working in different shifts so as to ensure the client issues are addressed on time.

• 2-5 years of experience in 24x7 customer support operations.
• You have experience in B2B Software support and understanding of Saas platforms
• You have excellent communication skills, ability to identify complex customer problems.
• You possess a sense of urgency for problem resolution and knows where to go for that resolution.
• You have the eagerness for learning and staying up-to-date on new product or policy changes.
• Start-up experience would be a plus.
• You should have working knowledge about APIs and ticket management tools (such as Freshdesk, Postman, Grafana…) will be a plus or a learning mindset.

 In-depth knowledge of keyword research & ASO and ability to align SEO strategies to support ASO

- Excellent understanding of ASO best practices, as well as knowledge of app store algorithms, optimization methods and effective strategies for growing app installs

- Experience managing and handling creative assets & metadata copies for Appstore, as well as for A/B testing

- In-depth knowledge of research principles and methods and experience in analyzing data

- App Localization experience.

- Critical thinker and problem-solving skills

- Strong communication skills - both written and spoken

• a genuine interest in SEO and/or digital marketing
• evidence of a strong personal online profile, e.g. a blog, website or connections and interactions on various social media platforms
• a commitment to keeping your technical skills and knowledge up to date
• an inquisitive mind which drives you to understand Google's algorithms and predict what changes might be coming
• a good understanding of search engines
• an ability to understand social media platforms and how to use them to distribute content, gain more links and build successful campaigns
• a good understanding of PR and how to get the right messages out there
• an understanding of how customers search, where they search and why they purchase something online
• a good understanding of the wider marketing context
• strong analytical skills for understanding ranking algorithms
• excellent communication skills to educate, inform, manipulate and mediate across a number of stakeholders in an organization
• an understanding of, or experience of, HTML coding, and preferably Javascript and PHP (PHP: Hypertext Preprocessor)
• proficiency in Microsoft Office and an excellent knowledge of Excel
• some experience and knowledge of web hosting.