Amazon Call Centre Job Work from Home |Amazon Work from Home Job | Amazon Work from Home Jobs in Bhopal

By | July 18, 2022
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Amazon Call Centre Job Work from Home |Amazon Work from Home Job | Amazon Work from Home Jobs in Bhopal

Job Title: Data Engineer II, Alexa Shopping Product Advisor

Pay Package: 10000 – 20000 a Month

Work Experience: 0 – 1 years

Organization Name: ADCI MAA 12 SEZ

Job Location: delhi

Qualification Required: 10th, 12th, Graduation or Any

Language: English/Hindi

Job summary

At Amazon’s Alexa Shopping, our vision is that Alexa will be the world’s most knowledgeable product expert who knows you, in a store that sells everything. All those moments when we need or want to know more about the products we use every day, will have instant satisfaction of an answer: just ask Alexa. We are building a digital product expert that is always available, with super-human knowledge of every product ever made.

Data Engineer is a newly created role to build world class business intelligence, analytics, and reporting systems for Alexa Shopping Product Advisor teams. You will work in an ambiguous, constantly changing environment and will be expected to balance detailed execution with speed and possess solid collaborative skills. As a Data Engineer in Alexa Shopping Product Advisor, you will work directly with stakeholders and technical partners to design and implement cutting edge data solutions that provide actionable insights to the business. You will work with a wide range of data technologies (e.g. Kinesis, Spark, Redshift, EMR, Hive, and) and Quicksight) stay abreast of emerging technologies, investigating and implementing where appropriate. The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideation and working from concept through to execution. This role will also build tools and support structures needed to analyze data. As a Data Engineer in this team, you will be responsible for developing the data architecture components that scales for the ever-evolving data needs. You will solve big data warehousing problems on a massive scale. You will apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, and enabling self-service. You will focus on automation and optimization for science model deployments. In addition to the technical skills, possess strong written and verbal communication skills, strong focus on internal customers and professional demeanor and high intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as changes arise.
This position involves regular communication with senior management on project status and risks. Cross-team coordination, project management, and executive presentation skills are essential.

We are working hard, moving fast and having lots of fun while building the world’s best personal assistant, and we are growing. If this sounds like you, we would love to chat!

Key job responsibilities
Core responsibilities may include:

Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
Be enthusiastic about building deep domain knowledge about Amazon’s business and Alexa Shopping space.
Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
Enjoy working closely with your peers in a group of very smart and talented engineers.
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency

BASIC QUALIFICATIONS

 

  • Bachelors or Masters in Computer Science Eng, Systems Eng., Statistics, Analytics, or a related field or an MBA
  • 4+ years of experience with relevant technologies, enterprise reporting systems, data analytics.
  • 4+ years of experience in working as an analytics or data engineering member working with cross functional teams.
  • Experience working with data visualization tools and creating data visualization concepts. (Excel, Tableau, or similar)
  • Experience of statistical analysis and tools such as SAS, R, or equivalent.
  • Experience with reporting tools like QuickSight, Cognos, and others
  • Familiarity with AWS RedShift and other distributed computing technologies preferred.
  • Excellent knowledge and Expertise with SQL, Linux, OLAP, and Relational, NoSQL & Multi-dimensional Databases, Big Data
  • · Excellent Knowledge of data warehousing concepts; coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

 

PREFERRED QUALIFICATIONS

 

  • Strong quantitative analysis and critical thinking skills
  • A deep empathy for the customer’s experience and the ability to translate it to new BI metrics
  • A background in machine learning models or natural language processing
  • The ability to communicate, persuade and influence, both verbally and in writing
  • Agile product development experience and skill

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