Talent Crafterz

HSR Layout, Bangalore

Role Summary A DevOps Engineer with 5-8 years of experience who is responsible for creating and managing CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLabEE pipelines. They should have a strong understanding of CD tools like Argo CD/ Jenkins and experience with cloud technologies, preferably AWS. The engineer should also possess hands-on experience with Kubernetes, Helm Charts, Terraform (IaaC), Docker, and knowledge in integration with SonarQube and Fortify. They should be able to perform security assessments and patching when required and have a good understanding of certificates and SSL.Area of Responsibility Creating CI/CD pipelines using Jenkins, GitHub Actions, or GitLabEE pipelines. Utilizing CD tools like Argo CD for continuous deployment. Applying cloud technologies, primarily AWS, for infrastructure deployment and management. Employing Kubernetes, Helm Charts, and Terraform for containerization and infrastructure-as-code. Utilizing Docker for containerization and deployment. Integrating code analysis tools like SonarQube and Fortify for continuous improvement. Performing security assessments and implementing necessary patches. Maintaining knowledge of certificates and SSL for secure deployments. Collaborating with development and operations teams to streamline processes. Monitoring and troubleshooting pipeline and deployment issues. Documenting and maintaining the CI/CD processes and infrastructure. Staying up to date with emerging trends and technologies in the DevOps space. Assisting in automation and streamlining of processes to improve efficiency. Ensuring system and data protection through proper implementation of security measures. Assisting in capacity planning and scaling of infrastructure as needed.

Role Summery you will be responsible for Analysing archiving and reporting requirements, source and destination systems and their data models and designing data transformation, archiving, reporting and analytics solutions that meet the functional and non-functional requirements. You will work closely with Project Managers to deliver the program. Dimension of Function Data Analysis, Data Modelling, Designing Data Solutions.Area of Responsibility Experienced Solutions Architect / Data Engineer with track record of creating large data tech solutions. Excellent understanding of the data tech solutions, specially Google Cloud. Data transformation and scripting experience. Sufficient programming knowledge to manage developer projects; for example, Python, JavaScript, SQL, etc. Working understanding of SQL Server 2008 & 2012. Developing software solutions. Familiar with industry data visualisation solutions.Knowledge / Experience Ability to present complex propositions in a simple manner. Able to articulate big ideas in plain language. Management of tech partners and experience at managing outsourcing / insourcing process. Experience working with internal/external dev teams and associated ways of working. Experience with multiple methodologies. Awareness of project management principles and experience of working with internal and external teams across multiple locations. Working knowledge of statistical techniques and predictive analytics also desirable. Excellent numerical and analytical skills Experience of statistical methodologies and data analysis techniques Ability to produce clear graphical representations and data visualisations. Knowledge of data analysis tools, for example, R Programming, Tableau Public, SAS, Apache Spark, Excel, RapidMiner Knowledge of data modelling, data cleansing, and data enrichment techniques An understanding of data protection issues Experience of working with Cloud based Data Analytics