What you’ll be working on:
- Provide technical and thought leadership for Data Engineering and Business Intelligence
- Create, implement and operate the strategy for robust and scalable data pipelines for business intelligence and machine learning
- Develop and maintain core data framework and key infrastructures
- Data Warehouse design and data modeling for efficient and cost effective reporting
- Define and implement Data Governance processes related to data discovery, lineage, access control and quality assurance.
Skills you'll need:
- Degree in Computer Science, a related field or equivalent professional experience
- 3+ years of strong experience with data transformation & ETL on large data sets using open technologies like Spark, SQL and Python
- 3+ years of complex SQL with strong knowledge of SQL optimization and understanding of logical & physical execution plans
- You have at least 1 year working in AWS environment, and should be familiar with modern web technologies like AWS cloud, MySQL database, Redis caching, messaging tools like Kafka/SQS etc
- Experience in advanced Data Lake, Data Warehouse concepts & Data Modeling experience (i.e. Relational, Dimensional, internet-scale logs)
- Knowledge of Python, Spark (Batch/Streaming), SparkSQL and PySpark
- Proficient in at least one of the following Object-oriented programming languages -- Python / Java / C++
- Effective craftsmanship in building, testing, and optimizing ETL/feature/metric pipelines
- Experience with Business Requirements definition and management, structured analysis, process design, use case documentation
- A data-oriented mindset
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FalconX
FalconX is a digital asset platform for institutions that provides trade execution, credit & treasury management, prime offering and market making services
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