Job Description:

DESCRIPTION Amazoncoms Transaction Risk Management Services (TRMS) mission is to make Amazon the safest and most trusted place worldwide to transact online Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries TRMS organization is looking for a outstanding Data Engineer with a strong background in ETL, Data warehousing and with interest in data mining and ability to derive key business trends from data Data Engineer should have strong experience with all standard data warehousing technical components (eg ETL, Reporting, Data Model), infrastructure (eg hardware and software) and their integration The candidate will be responsible for moving heavy data computation from Amazon Redshift to a separate computation & storage environment such as EMR & File system Also he/she will be on-boarding new data sources and will be evolving the current architecture and data model The ideal candidate will have extensive experience with star schema and dimensional models along with hands on experience in technologies such as Spark, Hive, Scala, & Python The candidate shall demonstrate ability to learn new technologies quickly The individual is expected to build efficient, flexible, extensible, and scalable ETL design and mappings Excellent written and verbal communication skills are required as the candidate will work very closely with diverse teams and senior leadership

Responsibilities
You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions You will also have the opportunity to display your skills in the following areas

Design, build and own all the components of a high volume data warehouse end to end
Architect next generation Data Warehousing platform with EMR, Spark, Scala, Python etc for elastic scalable computes
Develop prod code pipelines for various recurring data engineering problems using amazon build tools
Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources

Build efficient data models using industry best practices and metadata for ad hoc and pre-built reporting

Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc to drive key business decisions

Design, implement, and support a self-service platform providing ad hoc access to large datasets

Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Interface with business customers, gathering requirements and delivering complete reporting solutions

Provides input and recommendations on technical issues to BI engineers and business analysts

BASIC QUALIFICATIONS Bachelors in Computer Science, Engineering, Statistics, Mathematics or related field
6 years of experience in data engineering / business intelligence space

Strong understanding of ETL concepts and experience building them with large-scale, complex datasets

Strong data modelling skills with solid knowledge of various industry standards such as dimensional modelling, star schemas etc
Familiarity and knowledge with EMR, Spark, Scala, Python etc
Experience with reporting tools like Tableau or other BI packages
Experience in developing Data computation pipeline using Spark, Hive, & Scala

Experience designing and operating very large Data Warehouses

Experience with scripting for automation (eg, Unix shell scripting, Python, Perl, Ruby)

Experienced in Leading team from Technical perspective

At least one end-to-end BIDW implementation

PREFERRED QUALIFICATIONS Knowledge of Advanced SQL and a programming language

Experience with AWS technologies including Redshift, RDS, S3, EMR, EML

Experience with big data platforms such as Hive/Hadoop/Spark etc

Experience in coaching & mentoring junior engineers OR Conducted trainings for any BIDW related tools

Job details

Bangalore, India

Transaction Risk Management Systems

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 : 10th May 2020

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