Sr. Developer

AIA - Weekend Drive - BBSR 04th July 2026

Interview Location: Bhubaneswar Mode Of Interview: Face to Face

Interview Date: 04th July 2026 Skill: Azure Databricks & Pyspark

Responsibilities Experience - 6 - 9 Years

• Design and develop scalable data pipelines using Databricks SQL and PySpark to process high volume Medicare and Medicaid claims data across payer systems
• Implement efficient data models that support analytics use cases for claims adjudication trends member insights and provider performance improvement
• Optimize PySpark jobs and Databricks SQL queries to ensure reliable performance cost efficiency and predictable runtime for large claims datasets
• Build reusable data transformation frameworks that standardize ingest cleanse enrich and aggregate payer claims information from multiple source systems
• Collaborate with product owners business analysts and data consumers to translate Medicare and Medicaid payer requirements into robust technical data solutions
• Ensure data quality by implementing validation rules reconciliation checks and anomaly detection tailored to claims and payer domain constraints
• Develop secure data handling practices that protect member privacy and comply with healthcare regulations while enabling responsible analytics on claims data
• Create robust monitoring logging and alerting for Databricks workloads to proactively identify failures bottlenecks and data quality issues in production pipelines
• Document end to end data flows technical designs and operational runbooks so that hybrid teams can support and enhance Databricks and PySpark solutions effectively
• Work closely with testing and operations partners to support deployments defect triage and continuous improvements for production claims analytics platforms
• Partner with business stakeholders to deliver dashboards curated datasets and self service views that enable timely insights on claims cost quality and utilization outcomes
• Contribute to continuous improvement by evaluating new Databricks features PySpark capabilities and engineering practices that enhance stability maintainability and scalability
• Mentor peers through code reviews design discussions and knowledge sharing sessions to uplift engineering standards across data and analytics teams

Qualifications

• Possess a strong background in Databricks SQL with hands on experience writing complex queries optimizing execution plans and managing large scale tables in production
• Demonstrate advanced proficiency in PySpark including structured streaming dataframes and performance tuning techniques applicable to healthcare claims processing
• Bring deep domain understanding of Medicare and Medicaid claims payer operations and healthcare reimbursement workflows enabling accurate translation of business rules into code
• Apply solid knowledge of data warehousing concepts such as star schemas slowly changing dimensions and partitioning to support analytics on claims data
• Exhibit strong skills in debugging troubleshooting and root cause analysis for distributed data processing jobs within cloud based Databricks environments
• Show experience in working within hybrid work models using modern collaboration tools and following agile delivery practices for data engineering initiatives
• Display familiarity with healthcare data standards coding systems and regulatory expectations that influence design of claims analytics and reporting solutions
• Utilize effective communication and stakeholder engagement skills to align technical deliverables with business outcomes focused on member health and payer efficiency