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.
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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time