
Chief Data Strategist
7 hours ago
Design and implement end-to-end data pipelines and integration solutions for various structured and unstructured data sources and targets.
The ideal candidate should have extensive experience in technical, solutioning, and analytical roles, with a strong background in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration, and Business Intelligence/Artificial Intelligence solutions on Cloud.
Key responsibilities include:
- Architecting, designing, and implementing data pipelines and integration solutions
- Experience in working with distributed computing and enterprise environments like Hadoop, Cloud Cloud
- Well-versed with various Data Integration and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc.
- Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.
- Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc.
The successful candidate will have:
- More than 10 years of experience in Technical, Solutioning, and Analytical roles
- 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration, and Business Intelligence/Artificial Intelligence solutions on Cloud
- Ability to understand business requirements and translate them into functional and non-functional areas
- Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers, and Microservices Architecture and Design
The preferred candidate will also have experience with Machine Learning Frameworks like TensorFlow, Pytorch, etc., as well as good leadership skills, strong communication and articulation skills, and the ability to work with multiple stakeholders within IT and business.
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