Top Tech Jobs & Startup Jobs in Chennai

Designs, develops, and optimizes complex SQL Server databases, T-SQL code, stored procedures, indexes, and data-access patterns. Analyzes execution plans and performance metrics, tunes transactional and batch workloads, supports upgrades, high availability, disaster recovery, replication, monitoring, and capacity management. Troubleshoots production incidents, contributes to Azure and data-platform modernization, and provides technical leadership through reviews, documentation, mentoring, and standards development.

Administer and optimize Microsoft SQL Server and PostgreSQL databases across on-premises and Azure environments. Responsibilities include installation, upgrades, migrations, performance tuning, security, backups, disaster recovery, replication, clustering, high availability, SSIS support, and 24x7 production support. The role also designs scalable database architectures, automates processes, troubleshoots issues, supports developers, manages Azure database services, and maintains Windows and Linux database infrastructure.

Designs and optimizes Oracle database schemas, SQL queries, stored procedures, indexing, partitioning, and data access patterns. Collaborates with development teams throughout the application lifecycle, analyzes execution plans and Oracle AWR reports, supports database security design, and contributes to backup and recovery planning. The role also requires knowledge of Linux, shell scripting, Docker, cloud database platforms, and production database concepts.

Designs, develops, and deploys Microsoft Dynamics 365 CE solutions focused on Customer Insights and Journeys. Responsibilities include configuring workflows and plugins, building Azure and API integrations, optimizing data models, maintaining system performance, creating Power BI dashboards, supporting users, conducting code reviews, and participating in DevOps and CI/CD processes. The role requires collaboration with cross-functional teams to translate business needs into scalable CRM solutions.

Develop SmartCOMM templates, form inference logic, and workflow processes. Monitor errors, triage incidents, assess issue impacts, determine immediate fixes, resolve dependencies, and coordinate production deployments without disrupting scheduled application enhancements.

This posting provides minimal role-specific information. The position is titled Data Engineering with a focus on Talend, suggesting responsibilities related to data engineering and Talend-based data integration or processing. No specific duties, qualifications, experience requirements, compensation, travel expectations, or clearance requirements are provided.

Develop and deploy Java and Scala microservices for supply-chain finance, including invoice processing, settlement, funder allocation, and discounting. Build Spark batch and streaming jobs, Kafka event pipelines, and integrations with banks and ERP systems. Create Jasper Reports, maintain Kubernetes deployments, troubleshoot production systems using Elasticsearch and observability tools, and participate in Agile development, code reviews, system design, and automated testing.

Responsible for administering Microsoft SQL Server databases, including installation, upgrades, migrations, backups, recovery, security, performance tuning, high availability, capacity planning, automation, and documentation. The role collaborates with development and IT teams to optimize queries, integrate applications, troubleshoot issues, and maintain reliable, secure database environments.

Build and maintain data pipelines using Databricks, Python, SQL, and Spark. Apply data modeling, cloud data services, version control, and CI/CD practices. Support streaming pipelines, workflow orchestration, data governance, security controls, and downstream BI requirements. Experience with AWS or Azure is required, while Databricks certification, streaming technologies, orchestration tools, and Power BI exposure are preferred.

Designs and maintains scalable data ingestion, transformation, integration, and ETL/ELT pipelines. Diagnoses data quality issues, performs root-cause analysis, implements sustainable fixes, and optimizes SQL and data-processing workloads. Integrates internal and external systems through APIs and batch interfaces, supports CI/CD and DevOps practices, and ensures data accuracy, governance, security, and compliance. Collaborates with architects, analysts, QA teams, and stakeholders to deliver reliable data for analytics, reporting, and downstream applications.