Job Description : 5 to 10 Years of work exp.
- Strong understanding in data warehousing principals and data modelling
- Experience with AI/ML Ops – model build through implementation lifecycle in AWS Cloud environment and/or Snowflake
- Expert with SQL including knowledge of advanced query optimization techniques - build queries and data visualizations to support business use cases/analytics.
- Proven experience with software tools including Pyspark and Python, PowerBI, QuickSight and core AWS tools such as Lambda, RDS, Cloudwatch, Cloudtrail, SNS, SQS, etc.
- Hands-on experience on Snowflake, Snowsight, Snowpark, Snowpipe, SnowQL
- Experience building services/APIs on AWS Cloud environment.
- Data ingestion and curation as well as implementation of data pipelines.
- Experience working and leading vendor partner (on- and off-shore) resources.
- Experience in Informatica/ETL technology.
- Experience in DevOps and microservices would be preferred.