Job description
- Data Lake/lake House (Primary)
- Datawarehouse
- Python
- Pyspark & Big data
- Redshift
- Data Warehouse
- MAtillion Redshift ETL
- Apache Airflow
- AWS Services e.g. S3,RDS,KMS etc
- Product Development & Architecture experience good to have
- Help the customer to define and implement data architectures (Data Lake, Lake House, Data Mesh, etc). Engagements include proving the use of AWS Data services to support new distributed computing solutions that often span private cloud services
- Have extensive experience in design and implementing data lake and lake house for commercial LS sales and marketing domain and should be well versed in different terminologies and implementation practice in data lake/Lakehouse
- Deliver technical assessments with customers. This includes participating in understanding customer requirements, creating packaged Data & Analytics service offerings.
- Engaging with the customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment. Create new artifacts that promotes code reuse.
- Use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, Amazon EMR, Quicksight, Dynamo DB and Amazon Redshift.
- Understanding of database and analytical technologies in the industry including NoSQL dB, data warehouse, BI reporting and dashboard development
- Ability to think strategically about business, product and technical challenges in an enterprise environment
- Understand customer requirements and render those as architectural models for data lake or Lake House that will operate at large scale and high performance, and advise customers on how to run these architectural models on AWS
Refer code: 7404673. eTeam - The previous day - 2023-12-23 01:42
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