Job Description:

Data Engineer Job ID 831431 | ADCI - BLR 14 SEZ


Amazoncom operates in a virtual, global e-commerce environment without boundaries, and operates a diverse set of businesses, including retail, third party marketplaces, e-commerce platforms, web services for developers Amazons mission is to be earths most customer-centric company

Compliance Operations (C-Ops) is part of Health Safety Sustainability Security and Compliance (HSSSC) organization within Amazon C-Ops ensures that Amazon transactions satisfy legal and safety requirements in compliance with guidelines set by regulatory bodies We coordinate with aspects of identifying the risk involved in handling a hazardous product while storage and transport and classifying products with appropriate hazmat attributes This team also review aspects of product transactions that are regulated (distribution, shipping, sale, and import/export) This involves analyzing product import documentation We focus on product testing, certification, and regulatory permitting to ensure customer safety and protect Amazon in a constantly changing global environment

As a Data Engineer, you should be an expert in the architecture of DW solutions for the Enterprise using multiple platforms You should excel in the design, creation, management, and business use of extremely large datasets You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making You should have the ability to develop and tune SQL to provide optimized solutions to the business

BASIC QUALIFICATIONS Experience writing high quality, maintainable SQL on large datasets
Ability to write code in Python, Ruby, Scala or other platform-related Big data technology
Expertise in Star Schema data modelling
Exposure/Experience in Big data Technologies (hadoop, spark, etc)
Strong analytical and problem solving skills
Expertise in the design, creation and management of large datasets/data models
Experience working on building /optimizing logical data model and data pipelines while delivering high data quality solutions that are testable and adhere to SLAs
Experience with AWS services including S3, Redshift, EMR and RDS
Excellent verbal and written communication skills
Ability to work with business owners to define key business requirements and convert to technical specifications

PREFERRED QUALIFICATIONS Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
Experience working with other engineers in defining data engineering best practices and leveraging software development life cycle best practices such as agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations

Job details

Bangalore, India

Business Intelligence

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Consumer Durables/FMCG, Warehousing
Functional Area : IT Software : Software Products & Services
Role : Data Warehousing
Salary : As per Industry Standards
Deadline : 19th Feb 2020

Key Skills:

Company Profile:


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