Tasks/Responsabilities1. Designing, constructing, installing, testing, and maintaining highly scalable data management systems to support business requirements.2. Ensuring systems meet business requirements and industry practices by working closely with data scientists, business analysts, and other team members.3. Building high-performance algorithms, predictive models, and prototypes to ingest, integrate, and analyze large volumes of complex data.4. Developing data set processes for data modeling, mining, and production.5. Implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.6. Employing a variety of languages and tools to marry systems together or trying to eliminate system bottlenecks to maintain data cleanliness and integrity.7. Taking responsibility for data pipeline management, including the optimization and troubleshooting of data systems.8. Working with stakeholders to assist with data-related technical issues and support their data infrastructure needs.TechnologiesKubernetes, Openshift, Oracle SQL Developer, JIRA, Bitbucket, Jenkins, GitHub, Docker, PL/SQL, Amazon Athena,Apache Airflow, dbt, Data Engineering, Container Orchestration, Data Warehousing, Data Visualization, Data Pipelines, AWS Glue,Amazon S3, Snowflake, Data Factory, DataLake, Extract, Transform, Load (ETL), Amazon Web Services (AWS), Python (Programming Language)

Tasks/Responsibilities:•Working with large data sets to identify patterns and trends.•Developing machine learning models to improve performance.•Creating reports and visualizations to communicate findings to clients. Technologies: Python, R, SQL, ETL with SISS, Power BI, and Google BigQuery.

Tasks/Responsibilities:• Designing and implementing Azure cloud solutions to support business requirements• Configuring and managing virtual networking, including VLANs, VPNs, and DNS• Planing and implementing disaster recovery solutions, including backup and recovery• Monitoring and optimizing Azure resources to ensure peak performance• Troubleshooting Azure issues and provide support to customers• Staying up-to-date on Azure best practices and new featuresTechnology:Azure, ARM templates, Azure Automation, Azure DevOps, PowerShell, Microsoft SQL Server, Windows Server.

Tasks/Responsibilities:• Actively participated in business and system analysis, business process re-engineering and business requirement gathering sessions with business users.• Prepared the project documents like status reports, project plans, meeting minutes, change requests etc.• Worked closely with the development team and provided inputs to the developers for the development of the application.• Involved in maintaining the existing applications and provided support to the users.Technologies:Microsoft Dynamics NAV, SQL Server, VMWARE, Symantec End Point, Windows Server.

Tasks/Responsibilities:• Managing and monitoring of data center operations• Ensuring data center operations are running smoothly and efficiently• Coordinating with other teams to resolve any issues that may arise• Implementing new processes and procedures as needed• Monitoring data center performance and capacity• Preparing reports on data center operationsTechnologies: netTerrain DCIM, VM Ware

Tasks/Responsibilities:•Helping customers with technical issues related to software products• Performing quality assurance testing on software products•Writing test plans and test cases• Documenting software defects• Assisting with product releasesTechnologies:Linux, Microsoft Windows Server, SQL Server.