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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 |
Reverse Logistics team at Amazon Hyderabad Development Center is an agile team whose charter is to deliver the next generation of Reverse Logistics platform. As a member of this team, your mission will be to design, develop, document and support massively scalable, distributed real time data warehousing, querying and reporting system.The Data Engineer will own the data infrastructure for the Reverse Logistics Team which includes collaboration with software development teams to build the data infrastructure and maintain a highly scalable, reliable and efficient data system to support the fast growing business. You will work with analytic tools, can write excellent SQL scripts, optimize performance of SQL queries and can partner with internal customers to answer key business questions. We look for candidates who are self-motivated, flexible, hardworking and who like to have fun., Bachelors degree in Computer Science, Engineering or related field 3+ years of experience in data engineering / business intelligence space Strong understanding of ETL concepts and experience building them with large-scale and complex datasets Strong data modelling skills with solid knowledge of various industry standards such as dimensional modelling, star schemas etc Extremely proficient in writing & optimizing SQL working with large data volumes Experience designing and operating very large Data Warehouses Experience with scripting for automation (e.g. UNIX Shell scripting, Python, Perl, Ruby) Good to have experience with AWS technologies stack including Redshift, RDS, S3, EMR or similar solutions build around Hive/Spark etc Good to have experience with reporting tools like Tableau, OBIEE or other BI packages. Strong analytical and problem solving skills Curious, self-motivated & a self-starter with a can do attitude . Comfortable working in fast paced dynamic environment Experience in communicating with users, other technical teams, senior management to collect requirements, describe data modeling decisions and data engineering strategy Experience providing technical leadership and mentoring other engineers for best practices on data engineering Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing and operations
Keyskills :
javapythonsqlqlqueriescomputersciencedatawarehousingcodingstandardsdatamodelingshellscriptingunixshellscriptingreportingtoolsproblemsolving