Data Engineer, JWO Job Vacancy in ADCI – HYD 15 SEZ Hyderabad, Telangana – Updated today

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Full Details :
Company Name : ADCI – HYD 15 SEZ
Location : Hyderabad, Telangana
Position :

Job Description : 5+ years of experience as a Data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ETL pipelines
Experience in SQL and performance tuning.
Bachelor’s degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
5+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics.
5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
5+ years of experience in scripting languages like Python etc.
Demonstrated strength in data modeling, ETL development, and Data warehousing. Data Warehousing
Experience with Redshift, Oracle, NoSQL etc.
Experience with AWS services including S3, Redshift, EMR, Kinesis and RDS.
Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)

Job summary
The Team
Amazon Physical Stores is more start-up than big-company, a group of entrepreneurial, analytical, and creative leaders with innovation at our core. We’re pushing the state of the art in helping customers shop in engaging, fast, and safe ways. To date we’ve created stores that let you use an app to enter, take what you want from our fresh selection, and go (Amazon Go); a smart shopping cart that uses computer vision algorithms and sensor fusion to let you skip the checkout line (Amazon Dash Cart); and contactless services that let you pay, enter or identify yourself (Amazon One). Note: The specific team is internally and tech focused to delivery scalable solutions.

Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.

We are seeking a Data Engineer to join our team in Seattle. Our ideal candidate is someone who is always learning and improving as the business grows and the relevant technologies continue to evolve. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.

CORE RESPONSIBILITIES:

Lead architecture design and implementation of next generation data engineering solutions.
Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

Key job responsibilities
The potential candidate will work on implementing a data pipeline where the data ranges from tera to peta byte scale. This data pipeline will be part of core data lake that is being built from ground up. Data is sourced from heterogeneous systems with varying cardinality. The data engineer has to define the process on extracting this data from these sources. Data quality alarms and notifications has to be designed to ensure the data standards are met. Adhoc data requirements for research analysis are part of the game and the data engineer will partner with leaders in this space for such requirements.

A day in the life
The data engineer (DE) will partner with other DEs, business intelligence engineers, product, and program managers to deliver the business requirements. During this process the DE will have tremendous opportunity to learn and implement new technologies and also experiment new ideas or thoughts. Around 50% of the time will be spent on SQL or ETL tool. Other 50% will be spent on meeting customers, understanding the requirements. The DE will have the opportunity to work with AI, ML, Research and Data scientists on a day-to-day basis.

Proven success in communicating with users, other technical teams.
Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
Bachelors 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.

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