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Amazon Data Engineer Stores FinTech 
Canada, Ontario, Old Toronto 
629317134

09.09.2024
DESCRIPTION

Key job responsibilities
* Expertise and experience in building and scaling Finance Planning Applications
* Deliver on data architecture projects and implementation of next generation financial solutions
* Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc
* Build and deliver high quality data architecture and pipelines to support customer reporting needs
* Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
* Continually improve ongoing data extraction, cleansing, validation, transformation and ingestion processes, automating or simplifying self-service support for customers
* Collaborate with business users, development teams, and operation engineering teams to tackle business requirements and deliver against high operational standards of system availability and reliability
* Dive deep to resolve problems at their root, looking for failure patterns and suggesting fixes
* Prepare runbooks, methods of procedures, tutorials, training videos on best practices for the team
* Build monitoring dashboards and creation of critical alarms for the system
* Build and enhance software to extend system, application, or tool functionality to improve business processes and meet end user needs while working within the overall system architecture
* Diagnose and resolve operational issues, perform detailed root cause analysis, respond to suggestions for enhancements
* Identify process improvement opportunities to drive innovation
* Rotational on-call availability for critical systems support

BASIC QUALIFICATIONS

- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)


PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.