FirstBank Jobs

Description

Ever wondered how Amazon is using its Global presence to offer best of Amazon experience to its international customers? Emerging Country Growth Org acquires inventory in bulk from manufacturers, vendors and sellers and make them available in international Amazon marketplaces. This involves continuously enhancing the customer experience in the respective marketplace by expanding selection, reducing delivery times and costs. Given our rapid growth and this huge opportunity we are applying cutting edge technology to solve complex business problems. Do you like working on projects that are highly visible and are tied closely to Amazon’s profitability and growth? Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazon's data services? Do you want to pave the future for Amazon Retail, enhancing how we do business globally? If so, Emerging Country Growth is seeking a Data Engineer who wants to stretch both their technical abilities and their business know-how to implement creative global solutions.

Our mission is to bring top international selection to our customers in both emerging and establish countries at the best prices with the fastest delivery promise. This involves:

Building solutions that reach millions of new customers all over the world, providing them with a world class shopping experience

Drive customer experience technology for supporting customers all over the world

Work closely with the business to define the expansion strategy and figure out innovative solutions to help this thriving business continue to its exponential growth

It is through our innovative solutions that we seek to delight our global customers by offering relevant and rich selection of products, and reducing delivery times.

Key job responsibilities

• Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.

• Develop and manage ETLs to source data from various financial, AWS networking and operational systems and create unified data model for analytics and reporting.

• Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum and Athena.

• Collaborate with other Engineering teams, Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for financial model development, statistical analysis, prediction, etc.

• Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.

• Use business intelligence and visualization software (e.g., QuickSight) to develop dashboards those are used by senior leadership.

• Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.

• Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.

• Manage numerous requests concurrently and strategically, prioritizing when necessary

• Partner/collaborate across teams/roles to deliver results.

• Mentor other engineers, influence positively team culture, and help grow the team.

About the team

Our mission is to bring top international selection to our customers in both emerging and establish countries at the best prices with the fastest delivery promise.

Basic Qualifications

• 3+ years of data engineering experience

• Experience with data modeling, warehousing and building ETL pipelines

• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• Experience with SQL

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.