Description

You will perform data analysis and manage data warehousing tasks within an Agile environment.

Responsibilities

• Design and implement data warehouse solutions using Snowflake and Oracle.
• Build and maintain ETL/ELT pipelines for mid-to-high volume datasets.
• Execute data quality processes throughout the formal System Development Lifecycle.
• Write and maintain Unix/Linux shell scripts for data processing.
• Analyze complex datasets to support specific business requirements.

Required Skills

• 3+ years of experience in data warehouse development and design.
• 3+ years of Oracle SQL and PL/SQL experience.
• 3+ years of Unix/Linux Shell Scripting.
• 1-2 years of Snowflake data warehousing experience.
• 1-2 years of Python and Azure Data Factory (ADF) experience.
• Proven experience managing mid-to-high volume ETL/ELT processes.
• Knowledge of formal System Development Lifecycle and Data Quality processes.
• Any Graduate degree.

Preferred Skills

• Experience with Databricks, Azure Blob storage, or DataStage.
• Experience with healthcare data, including claims and clinical data.
• Familiarity with Sqoop, Kafka, data streaming, or big data tools.

Key Skills

Education

Any Graduate