Amazon Job Opportunity: Opinion Sharing and Data Entry Associates | Market Research Company
Hiring Organization:- Amazon
Post Name:- Data Engineer, Davengers(Data Avengers)
Qualifications:- Bachelor Degree
Industry:- Private
Employment Type:- Full-Time
Work Hours:- 8 Hours
Salary:- $70000-$80000/Year
Locations:- California, USA
Full Job Descriptions:-
Portrayal
Amazon information designing cross boundary and developments group is searching for a specialist who can construct, improve and keep up with the hidden start to finish information stages for Amazon MENA business (AE,SA,EGY areas).
Essential Obligation:
- Solid information and openness on DWH ideas and philosophies, the new universe of Information Lake
- To discuss successfully with business for the activities.
- Comprehension of social and non-social data sets like Mysql, SQL, Redshift, Vertica and so forth
- Information Relocation and Approval experience between various sources
- Information on best coding rehearses
- Capable in SQL composing
- Hands on experience on ETL apparatuses like Pentaho Information Combination, Informatica, Matillion and so on is an extra benefit
- Solid plan ideas to carry out start to finish arrangements
- Information on AWS cloud based advancements is an extra benefit
- Pioneer, student and an engineer by heart
- Information on dialects like java, Python, javascript. Hands on experience on shell prearranging and unix orders
- Experience recorded as a hard copy Unit experiments for information quality
- Client Fixation and fit for conveying brings about unique climate.
- Ready to jump profoundly into specialized subtleties (e.g., key conditions, plan decisions, operability, and so on) and drive a helpful specialized conversation.
Essential Capabilities
- 3+ long stretches of information designing experience
- Experience with information displaying, warehousing and building ETL pipelines
Favored Capabilities
- Experience with AWS advancements like Redshift, S3, AWS Paste, EMR, Kinesis, Fire Hose, Lambda, and IAM jobs and authorizations
- Experience with non-social information bases/information stores (object capacity, report or key-esteem stores, diagram data sets, segment family data sets)

