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| Job Location | Hyderabad |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other SoftwareIT Operations / EDP / MIS |
| EmploymentType | Full-time |
Do you have the technical chops to build BI solutions that process billions of rows a day using AWS technologies Do you want to create next-generation tools for intuitive data access Do you wake up in the middle of the night with new ideas that will benefit your customers Are you persistent in bringing your ideas to fruition First things first, you know SQL and data modelling like the back of your hand. You also need to know Big Data and MPP systems. You have a history of coming up with innovative solutions to complex technical problems. You are a quick and willing learner of new technologies and have examples to prove your aptitude. You are not tool-centric; you determine what technology works best for the problem at hand and apply it accordingly. You can explain complex concepts to your non-technical customers in simple terms.Join the FinTech Business Intelligence team and turn your dream Data Engineer job into reality as we are moving from traditional database technologies to AWS technologies.Job Responsibilities- Applies broad knowledge of technology options, technology platforms, design techniques and approaches across the data warehouse life cycle phases to design an integrated, quality solution to address the business requirements- Meets and collaborates with business users on requirements, objectives and measures.- Designs the technology infrastructure across all technical environments- Ensures completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements- Designs and plans for the integration for all data warehouse technical components- Supervises the technical implementation of the data warehouse and oversees hardware/ software configuration- Provides input and recommendations on technical issues to the project manager- Reviews technical work of other team members- Reviews and participate in testing of the data design, tool design, data extracts/transforms, networks and hardware selections- Develops the implementation and operation support plans, - 5+ years of experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures.- 3+ years of experience in architecting data warehouse solutions, Data modelling and integrating technical components- Experience in relational database concepts with a knowledge of SQL .- Experience in big data technologies: Hadoop Eco Systems , Map Reduce, Pig, Hive, Redshift or advanced analytics tools will be plus- 3+ years of working with very large data warehousing environment- 3+ years of experience working with programming languages such as java/python/c/c++. Redshift Map Reduce, Hive Scala or Python or Java MPP system - Redshift OBIEE/Tableu/Microstrategy Masters in Computer Science.
Keyskills :
java hive python sql atamodeling technologyplatforms businessintelligence programminglanguages advancedanalytics bigdata lifecycle