Before u proceed below to check the jobs/CVs, please select your favorite job categories, whose top job alerts you want in your email & Subscribe to our Email Job Alert Service For FREE
Job Location: Bhagya Nagar
- Bachelor’s degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
- 3+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics.
- 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
- 3+ years of experience in scripting languages like Python etc.
- Demonstrated strength in data modeling, ETL development, and Data warehousing.
- Experience with AWS services including Redshift, EMR, Kinesis and RDS.
- Experience in working and delivering end-to-end projects independently.
- Knowledge of distributed systems as it pertains to data storage and computing
Job summary
Amazon is looking for a leader in the team that takes Data Analytical models of North America Reliability Maintenance Engineering team to the next generation. If you are a solid analytical thinker, metrics driven decision maker and interested in collecting, storing large volumes of data, building analytical models, willing to solve problems with solutions that will meet the growing worldwide needs then Reliability Maintenance Engineering is the team for you. We are looking for top notch Data Engineers to be part of our world class business analytics team.
The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. They are an expert in data modeling, ETL design and business intelligence tools and passionately partners with the business stakeholders to identify strategic opportunities where improvements in data infrastructure has huge business impact. They are a self-starter, comfortable dealing with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team.
- Proven success in communicating with users, other technical teams, and 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
- Masters in computer science, mathematics, statistics, economics, or other quantitative field Amazon is committed to a diverse and inclusive workplace.
- Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Submit CV To All Data Science Job Consultants Across Bharat For Free
