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We are looking for experienced, self-driven Data Engineer. In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack. You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction. Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights.
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/Scala, Athena etc.
- Develop and manage ETLs to source data from various commercial, sales and operational systems and create unified data model for analytics and reporting- Work with Product Managers, Finance, Service Engineering Teams and Sales Teams on day to day basis to support their new analytics requirements.
- Manage numerous requests concurrently and strategically, prioritizing when necessary
A day in the life
Mentorship & Career Growth
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
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