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Data Engineering

Location Hyderabad, India
Posted 16-November-2019
Amazon strives to be the world s most customer centric company with lot of high end innovation and product development including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. We provide customers a fully integrated service with instant access to over 27 million movies, TV shows, magazines, newspapers, books, songs, apps, and games.
The ADS team is part of Amazon s speech platform organization that provides speech recognition capabilities for a variety of Amazon products and searches, most visibly, the Amazon Echo product.
Data Engineer is a newly created role to build world class data platform and deploy scalable business intelligence tools for ADS teams. 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. He/she is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates outsized business impact. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team. The ideal candidate need to possess exceptional technical expertise in large scale data warehouse and BI systems with hands-on knowledge on SQL, Distributed/MPP data storage, Hadoop and AWS services., Bachelor s degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
3+ years of hands-on experience hiring and managing teams and
5+ years as a hands-on Data Engineer or developer
7+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics
4+ years experience working with Open Source Big Data tools (Parquet, Spark, Hadoop, Presto) Masters degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
Experience working with AWS Big Data Technologies (EMR, Redshift, S3)
Proven track record of delivering a big data solution with ML and predictive use cases.
Experience working with both Batch and Real Time data processing systems
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 coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Ability to plan roadmap, prioritize tasks, manage dependencies and deliver on time.
Excellent understanding of software development life cycle and/or agile development environment with emphasis on BI practices.
Ability to create collaborative relationships with partners, stakeholders and customers while managing expectations, managing concerns and risks, and communicating progress.
Proficiency in at least one modern programming language such as Java, Scala, or Python
Knowledge of data management fundamentals and data storage principles
Knowledge of distributed systems as it pertains to data storage and cloud computing
Strong problem-solving skills and ability to prioritize conflicting requirements.
Excellent written and verbal communication skills and ability to succinctly summarize key findings.
Meets/exceeds Amazon s leadership principles requirements for this role
Meets/exceeds Amazon s functional/technical depth and complexity for this role
Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Age/ Female / Disability / Veteran / Gender Identity / Sexual Orientation
Min 3 to 5 Years.

Awards & Accolades for MyTechLogy
Winner of
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
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