Description

You will design and maintain the Eligibility Platform, blending data engineering, cloud, and data movement expertise to build robust data solutions.

Responsibilities

• Write, tune, and optimize complex Oracle SQL and PL/SQL queries for high-performance data retrieval.
• Design and implement ETL pipelines using Azure Data Factory and Airflow for data ingestion and orchestration.
• Develop and manage data models within Snowflake and relational databases.
• Lead solution design, systems analysis, and technical implementation across distributed teams.
• Mentor junior developers and resolve complex technical challenges within the Data Platform Chapter.

Required Skills

• 10+ years of experience in data engineering, software engineering, or related technical fields.
• Strong proficiency in Oracle SQL and PL/SQL, with a focus on query tuning and optimization.
• Hands-on experience with cloud platforms, specifically Azure and AWS.
• Experience with cloud-based data ingestion tools, particularly Azure Data Factory.
• Proficiency with Snowflake database and data modeling concepts.
• Experience with workflow orchestration tools like Apache Airflow.
• Ability to analyze business direction, understand long-term technical vision, and assess risk.
• Strong verbal and written communication skills for summarizing technical information to stakeholders.

Preferred Skills

• Familiarity with ETL tools like Informatica (PowerCenter).
• Experience with Power BI for data visualization.
• Master’s degree in Computer Science, Engineering, or Mathematics.

Key Skills

Education

Any Graduate