Job ID: 2771053 | Amazon.com Services LLC - A57
ARCADE team (Analytics team support MCF and BwP business) is seeking a highly motivated Data Engineer to solve innovative problems via business process and technology innovations. We are looking for an experienced Data Engineer to tackle complex and ambiguous problems that span numerous systems and organizations. As a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis and machine learning models. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.
Key job responsibilities
- Design, implement, and support data warehouse/data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.
- Develop and manage ETLs to source data from various Santos domain and SDO teams & 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 ML model development, statistical analysis, prediction, etc.
- Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.
- Build scalable and secure data infrastructure that will be used by BIEs to develop dashboards for 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.
- Work 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.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
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)
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