Description

You will design, architect, and implement data warehousing and reporting solutions to drive business insights.

Responsibilities

• Design, automate, and launch scalable data pipelines into production using Python.
• Build and enhance dimensional models for data warehouse and BI solutions.
• Tune SQL queries, reports, and ETL pipelines for efficiency.
• Perform root cause analysis to resolve production and data issues.
• Create test plans, test scripts, and perform data validation to ensure operational excellence.

Required Skills

• 4+ years of experience developing BI applications such as Tableau, Looker, or Power BI.
• Advanced proficiency in Python and SQL.
• 4+ years of experience in custom ETL design, implementation, and maintenance.
• 4+ years of experience with schema design and dimensional data modeling.
• Experience with MPP databases including Redshift, BigQuery, or Snowflake.
• Experience with ETL frameworks such as dbt, Databricks, or custom solutions.
• Strong software engineering skills in a server-side language, preferably Python.
• Experience with statistics, machine learning, and generative AI.

Preferred Skills

• Proficiency in developing LookML.
• Knowledge and experience in financial markets, banking, or exchanges.

Key Skills

Education

Any Graduate