Top Tech Jobs & Startup Jobs in Chennai

Design and implement scalable Microsoft-based solutions (.NET, Azure, SQL, SharePoint). Collaborate with stakeholders to translate requirements into architectures, mentor engineers, enforce code quality and security, lead cloud migrations to Azure, troubleshoot complex issues, and evaluate emerging technologies for healthcare payer analytics use cases.

Design, develop, administer, and optimize Teradata EDW/Data Mart systems. Build and maintain BTEQ scripts and complex SQL/procedures, perform query tuning, physical data modeling, index selection, and explain-plan analysis. Monitor and troubleshoot CPU, spool space, AMP issues, and batch performance. Collaborate with analytics, business teams, and TDBA to deploy high-quality data models and meet production SLAs. Support reporting via QlikView/Power BI.

Migrate and implement Cybermation jobs into Apache Airflow by analyzing existing schedules and scripts, designing and developing DAGs, configuring schedules, retries, logging and alerting, performing dry runs and validation, producing migration and runbook documentation, and coordinating deployments and hypercare with client teams.

Support master data management tasks: collect, cleanse, standardize, and maintain master data records. Learn MDM tools and methodologies, produce reports and queries, apply basic statistical modeling, and participate in team meetings while supporting multiple concurrent projects.

Lead enterprise operational analytics and advisory for healthcare payment integrity. Consult with C-suite, drive ROI-focused analytics strategy, oversee ML/NLP and Agentic AI delivery, manage talent, and ensure operational KPI and revenue targets.

Lead provider engagement analytics for healthcare payment integrity: design provider touch strategies, implement cross-functional projects, analyze data, build frameworks and interactive visualizations, and translate ML/NLP model outputs into actionable insights to improve provider experience and adoption.

Design, build, and optimize Databricks-based lakehouse solutions and pipelines for Financial Crime use cases (AML, KYC, sanctions, fraud, reporting). Manage Databricks workspaces, clusters, Unity Catalog, Delta Lake tables, DLT, streaming ingestion, PySpark/SQL transformations, MLflow/feature store workflows, CI/CD/IaC, governance, performance tuning, and operational runbooks.

Lead technical solutioning and architecture for ETL and data warehousing projects using SQL, Python, Databricks and Azure. Collaborate with analytics, engineering and business teams, manage production runs and maintenance, extract and analyze data from SQL/NoSQL sources, create mapping documents, and ensure efficient secure code and cloud deployments.

Lead healthcare-focused strategy and transformation engagements: analyze client processes and markets, design and implement growth and account strategies, support M&A due diligence, drive cross-functional change, manage leadership reporting and governance, and present data-driven recommendations to senior stakeholders.

Lead design, development, and production deployment of generative AI and LLM-based solutions. Build and optimize ML pipelines, fine-tune and evaluate models, manage infrastructure on Azure/GCP and Linux, ensure secure handling of PII/PHI, and collaborate across teams to integrate AI into enterprise applications.