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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Telecom / ISP |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
DescriptionLooking to hire Talend ETL Data Engineer. Develop, test and implement Talend data pipeline microservices, aligned with the standard best practises in terms of genericity and future proofing Integrate cloud platform data with related native applications on cloud data platform (e.g. visualisation tools & data science / advanced analytics applications) Experience in working with Business Users to understand and analysis project requirements and to Co-ordinate work efforts with multiple teams. Will align with existing solution patterns where applicable and extend them as required via an architecture board process Work with tools to accelerate and facilitate data pipeline management, and automation of other key areas of the delivery lifecycle (e.g. enabling automated test execution) . _VOIS(122048)Job Responsibility Experienced Talend data developer, with 5+ years of hands on development activities Must Have Skills: Experience in the ETL Development and Testing using of Talend 5.6/6.2.1,7.1(Preferable) or experience in other ETL tools like Abinitio / Informatica cloud tool. Experience in dealing with Talend (tMap, tJoin, tSchemaComplainceCheck,tFilter,tlogcatcher, tconverter,Remove duplicates, find duplicates, lookup, etc.) Involved in the development of Talend ETL process for extracting data from different data sources, data transformation and loading the data into data warehouse for data mart operations. Experience with cloud based development, constraints and requirements. Minimum 2+ years. Experienced with Agile delivery methodology, continuous integration and continuous deployment (CI/CD). Experience in working on AWS environment. Hands-on experience on Installation and configuration of Talend platform dependent systems TAC, Job Server, Git, Jfrog Repository, Jenkins, Ansible, Docker, etc. Proficient in all phases of the software development lifecycle (SDLC) including requirements, system implementation, system testing, acceptance testing, production deployment, and production support. Experience working in Agile / Scrum Methodology /Waterfall Methodology. Experience in issue management tools such as JIRA, Confluence, etc. Knowledge / experience around big data processing Desired CertificationsAgile/SAFe methodology Talend certified administrator Talend certified big data developer Soft Skills 1) Excellent communication (both written and spoken), negotiation and presentation skills 2) Persists when faced with resistance and convinces other colleagues of a point of view 3) Anticipates objections, builds on other people s ideas, and improves service standards ,
Keyskills :
big datadata processingmissoftware development life cycledata scienceissue managementfinanceetl toolssystem testingcustomer serviceinsurancedocumentation