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Job Description:

Data Engineer Job ID 906560 | Amazon Dev Center India - Hyd

DESCRIPTION Do you want to be on the forefront of the next BIG thing in data Want to take a leading role in how Amazon approaches Customer Service Are you skilled at helping provide customers a comprehensive platform to access their data If this excites you, then keep reading

Device, Digital and Alexa Support Customer Service is looking for an experienced, self-driven Data Engineer In this role, you will be navigating one of the worlds largest and most complex data environments You should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions You should have deep expertise in the creation and management of datasets, and the proven ability to translate the data into meaningful insights through collaboration with business analysts, business intelligence engineers, and research scientists

The D2AS vision is to create innovative support experiences for customers of Amazons devices and digital products, through intelligent self-service solutions and a world class tech support organization To empower data driven decisions on behalf of our customers, we currently run analytics out of multiple Redshift clusters, leverage AWS Elastic Map Reduce for feature engineering and offline batch modeling, and integrate with hundreds of realtime sources across Amazon to drive personalized customer service

KEY RESPONSIBILITIES
Designing and developing efficient and reliable data pipelines
Provide server administration and infrastructure support for a large-scale analytical platform providing adhoc access to large datasets
Interface with other technology teams to extract and transform data from a wide variety of data sources
Enhance the automation framework used to source, compile and distribute key business intelligence to stakeholders
Leverage data in real-time to create solutions which personalize our customers experiences

BASIC QUALIFICATIONS
Bachelors degree or higher in a quantitative/technical field (eg Computer Science, Statistics, Engineering)
5 years industry experience as a Data Engineer or in a related field (ie Business Intelligence Engineer, Quantitative Analyst, Data Scientist, Software Engineer, etc) with a strong track record of working with large and unstructured datasets
Data Warehousing Experience with Oracle, Redshift, Teradata, etc
Proficiency in Python or another general-purpose programming language
Understanding of data management fundamentals, data storage principles and distributed systems

PREFERRED QUALIFICATIONS
Masters degree in an engineering or technical field such as Computer Science, Physics, Mathematics, Statistics, or Engineering
Experience leading large-scale data warehousing and analytics projects, including using AWS technologies Redshift, S3, EC2, EMR, Kinesis, etc
Knowledge of Reporting tools such as Microstrategy, OBIEE or Tableau
Experience with distributed systems and NoSQL databases
Experience with Big Data technologies (eg Hadoop, Hive, Oozie, Presto, Hue, Spark, Scala, etc)

Job details

Hyderabad, India

Customer Service Technology

Business Intelligence

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Consumer Durables/FMCG, Warehousing
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 02nd Jun 2020

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