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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Recruitment Services |
Functional Area | DBA / Datawarehousing |
EmploymentType | Full-time |
Title ETL Engineer(Talend Developer)-NBFC(Financial Services)-Bangalore-3-5yrs-7-8lakhs Apply Now Categories IT Jobs Salary 8lakhs Total Yrs Of Experience Required 3-5yrs Job Location Bangalore Job DescriptionOur client is a FinTech Non Banking Financial Services Company dedicated to driving Financial Inclusion in the MSME sector. Our client is the only company from India recognized globally by the World Bank/IFC with a gold award in 2019 as Bank of the Year-Asia for innovative work in SME financing. The company is an RBI-registered Systemically Important NBFC. Headquartered in Bangalore, we have 110 branches across Karnataka, Gujarat, Maharashtra, Andhra Pradesh, Telangana, Tamil Nadu and UT ,Puducherry with more than 1000 employees.Title ETL Engineer (Talend Developer Team Data Management Team Purpose of Job Development, testing, deployment and management of ETL scripts for data integrations with enterprise data warehouse, data lake and analytical systems Job Components/Responsibilities As an ETL Developer, you will be a part of a team, committed to orchestrate data integration between multiple applications and enterprise data warehouse and analytical platforms.You will:Design and deliver complex, large-volume data warehouse applications.Carefully analyse the problem statements and work product requirementDeveloping the detailed design structure after understanding the requirements and the design.Implementing the best practices and coding standards.Identifying the technical risk and come up with mitigation action plan.To ensure that the development is progressing as per the listed procedures and defined quality standardsShould maintain the project timelines need to deliver the work product/ deliverable as per agreed milestones.Should display a high degree of adaptability to learn new technologies as needed and successfully manage the daily challenges of a technical environment.Qualifications and requirements A Bachelor s/Master s degree in computer science, computer engineering, or a related discipline is required6 years of experience working as a Data Warehouse / ETL developerMinimum 4 years of Talend experienceExperience in Big data tools is preferredStrong experience in advanced SQL programmingData modelling experienceHigh volume data warehouse design experienceSolid and professional communications skills, both verbal and written.Linux familiarity and shell scripting experience.Strong knowledge of Software Development Lifecycle (SDLC).Strong experience in Data Quality, Source Systems Analysis, Business Rules Validation, Source Target Mapping Design, Performance Tuning and High Volume Data Loads.Strong written and oral communication skills are essential. Strong analytical skills and ability to resolve problems are desired.Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment.Working knowledge of source-code control using any tool available in the market is preferred.Preferred qualities Good Analytical and problem solving skillsShould be a team player with a winning attitudeAbility to adapt latest technologies and successful implementation in the projectsAbility to collaborate with internal and external stakeholders for effective delivery of the projects assignedAnalytical, problem-solving, and troubleshooting skillsStrong verbal and written communicator, able to speak with the business experts and understand the requirementsWell organized and consistently delivers on commitmentsMinimum Skills Required Talend Open Studio, SQL programming, MySQL Database Additional Skills Preferred Amazon Analytics tools such as RDS, Redshift, Quicksight, etc. Report to Data Engineering Lead Place of Work Bangalore HO Job Type Full-time No. of Posts 1Apply Now,
Keyskills :
data modelingdata managementsoftware development life cyclecomputer sciencetalend open studioenterprise datashell scriptingdata integrationdata engineeringbig datadata quality