Description

Build and maintain data processing pipelines and tools to ensure data quality and accuracy.

Responsibilities

• Automate data processing tasks and build ETL workflow tools.
• Perform data extraction, modeling, collection, and visualization.
• Develop data cleansing routines to improve overall data quality.
• Gather and interpret data processing requirements across departments.
• Manage multiple queries while integrating new data sources.

Required Skills

• 5+ years of experience in data analyst, data science, or data engineering.
• Strong MS SQL 2019 experience with advanced T-SQL querying.
• Proficiency with SSIS (SQL Server Integration Services) using Visual Studio.
• Experience with Python, R, or other scripting languages like Ruby.
• Understanding of cloud computing environments such as AWS or Snowflake.
• Strong knowledge of big data warehousing and management principles.
• Advanced proficiency in Microsoft Office, including Excel and MS Access.
• Any Graduate degree.

Key Skills

Education

Any Graduate