AWS Devops Engineer

TCS is Hiring AWS Devops For New Delhi and Bangalore location

Experience

Mode of interview

Location

Must have:

• Develop and implement data virtualization solutions using the Denodo Platform
• Stay up to date with the latest trends and technologies in data virtualization and related fields.
• Strong understanding of data virtualization concepts and best practices
• Proficient in SQL and database management systems
• Understand the data delivery platform as a foundation for reporting, business intelligence, Data as a Service API exposures, and analytics.
• Experience on Design and develop Data Virtualization views by connecting Oracle, AWS Redshift, Hana, SQL Server, and other data sources.
• Install and upgrade current Denodo environment.
• Triage, debug, and fix technical issues related to Denodo.
• Design and Develop solution for Scale.
• Optimize Denodo view and Resources performance.
• Design and Evaluate Data Models (Star, Snowflake and Flattened using data caching)
• Coordinate with Business and Technical teams through all the phases in the software development life cycle.
• Maintain and Manage Code repositories like Git.
• Experience working in Agile/ Scrum methodology.
• Participate in making major technical and architectural decisions.
• Set up integrated environments for GitHub and Jira, New Relic, and AWS cloud.
• Implemented and maintained the monitoring and alerting of production and corporate servers/storage using AWS Cloud watch.
• Coordinate or assist the developers with establishing and applying appropriate branching, merging conventions by using GitHub.
• Installing and configuring GIT, Jenkins/Concourse, Deployment, and automation
• Maintaining the source code in GIT for various applications.
• Responsible for creating the branches and tagging the code.
• Supporting the developers in configuration management environment
• Experience in Data Analytics with Databricks, Python and Data management tools.
• Experience in Data extraction, PySpark transformations, migrations, and Loads.
• Full software development life cycle (SDLC) and proficient in working with Agile Scrum Methodologies.
• Experience in developing SQL scripts for Automation.
• Develop and maintain data models to support data analysis and reporting.
• Develop and maintain data warehouses and data marts.
• Develop and maintain ETL processes to move data between systems.
• Develop and maintain data quality and governance processes.
• Expertise and experience in Linux Operating system.
• Strong communication and documentation skills