Data Engineer – Job ID: 2081020 | Amazon Dev Center India – Hyd – IN, TS, Hyderabad

Amazon

  • Full Time

DESCRIPTION

Job summary
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.

BASIC QUALIFICATIONS

· Bachelor’s 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
· Experience in working in large Data Warehouses and in writing & optimizing SQL working with large data volumes
· Experience with AWS technologies stack including Redshift, RDS, S3, EMR or similar solutions build around Hive/Spark etc
· Experience with scripting for automation (e.g. UNIX Shell scripting & Python)
· Good to have experience with reporting tools like Tableau, Power BI, 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

PREFERRED QUALIFICATIONS

· Proven track record of strong interpersonal and communication (verbal and written) skills. Must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into actionable analyses and contribute to documents
· Experience developing insights across various areas of customer-related data: financial, product, and marketing
· Proven problem solving skills, attention to detail, and exceptional organizational skills
· Ability to deal with ambiguity and competing objectives in a fast paced environment
· Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing and operations

Job Overview