Description

You will engineer data pipelines and models to enhance enterprise reporting and analytics.

Responsibilities

• Design and develop database and data warehouse structures based on technical requirements.
• Build data collection frameworks for structured and unstructured data.
• Develop and implement ETL/ELT processes using Databricks, SSIS, and Python.
• Troubleshoot and optimize query performance for large-scale datasets.
• Collaborate with developers to implement BI solutions and support data science initiatives.

Required Skills

• 5+ years of experience in data warehouse engineering or dimensional data modeling.
• 5+ years of experience developing ETLs using Databricks, Python, or Microsoft SSIS.
• Proficiency with Azure, Snowflake, and SQL.
• Experience with Python and Tableau.
• Experience working within an Agile Scrum team.
• Bachelor's degree in Data Analytics, MIS, Computer Science, or a related field.
• Strong problem-solving and decision-making abilities.
• Effective written and verbal communication skills.

Key Skills

Education

Any Graduate