Description

You will manage data pipelines and perform complex analysis to drive actionable insights.

Responsibilities

• Develop, maintain, and optimize data pipelines and workflows using Python.
• Write and optimize SQL queries for data extraction, transformation, and reporting.
• Design and implement ETL processes for both structured and unstructured data.
• Collaborate with cross-functional teams to translate data needs into technical solutions.
• Manage large datasets and ensure data quality, accuracy, and security across all systems.

Required Skills

• 5+ years of experience as a Data Analyst or Data Engineer.
• Direct experience with Freddie Mac or Fannie Mae environments is required.
• Proficiency in Python programming for data manipulation.
• Advanced SQL skills for complex querying and data extraction.
• Hands-on experience with Snowflake and cloud-based data warehouses.
• Strong understanding of ETL concepts, tools, and best practices.
• Experience with AWS or other cloud platforms.
• Knowledge of Informatica and ETL workflows.
• Familiarity with version control systems like Git.

Preferred Skills

• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Understanding of data governance, security, and compliance practices.

Key Skills

Education

Any Gradute