Data Engineer
Location(s): Pune, Maharashtra, India
INR 2000K-2500K (estimate) Senior-level Full Time
Tasks
- Automate releases and deployments using CI CD
- Build monitoring and observability using Splunk
- Build real-time and batch data processing
- Configure and optimize IBM MQ
- Deploy and configure WebSphere Application Server
- Deploy applications on Kubernetes/OpenShift
- Design scalable data solutions
- Develop ETL and ELT pipelines
- Develop advanced SQL queries
- Ensure high availability and reliability
- Implement data warehousing and data modeling
- Integrate systems using XML JSON and REST
- Manage Linux environments
- Manage enterprise application platforms
- Optimize JVM thread pool and connection pool
- Optimize database performance
- Tune query execution and indexing
- Validate and reconcile data
- Write Shell scripts and Python automation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AppDynamics | Application Server | Application deployment | Azure | Batch Processing | CI/CD | Connection Pool | DB2 | Data Modeling | Data Quality | Data Warehousing | Data pipeline | Deployment Automation | Dynatrace | ELT | ETL | Financial Services | Functions | GitHub | GitLab | Google Cloud | IBM MQ | ISO 20022 | Indexing | JSON | JVM | Jenkins | Kubernetes | Linux | Message Queues | OpenShift | Oracle | Payment Systems | PostgreSQL | Python | Query Optimization | REST API | Real Time | Real-time Processing | Release automation | SQL | SQL Server | Shell Scripting | Splunk | Stored Procedures | Swift | Thread pool | Time processing | Triggers | Views | WebSphere Application Server | WebSphere MQ | XML
Education
N/A
Roles
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