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Key job responsibilities
* Design and implementation of financial data solutions, ensuring the overall architecture meets customer needs
* Experience building OLAP based solutions leveraging TM1, Essbase, Kylin, or similar technologies
* Experience developing data transformations using python, pyspark, scala, etc
* Manage AWS resources including Redshift, Lambda, Glue, and Step Functions.
* Interface with other technology teams to extract, transform, and load data from wide variety of data sources
* Continually improve ongoing reporting and analysis processes, including automating or simplifying self-service support for customers.
* Collaborate with business users to dive deep and understand what they need to support their work
* Diagnose and resolve operational issues, perform detailed root cause analysis, and respond to suggestions for enhancements.
* Identify process improvement opportunities to drive innovation
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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