Senior Data Engineer

Design and implement strategies for migration of reporting solutions from legacy platforms to Snowflake.

Collaborate with subject matter experts (SMEs) to understand report purpose, usage frequency, and business logic.

Analyze data structures and relationships in Oracle, understand data quality rules, and map data elements to Snowflake's structure.

Convert Oracle SQL, data types, and stored procedures to Snowflake equivalents

Validate data integrity between Oracle and Snowflake, identify discrepancies, and ensure data accuracy

Implement security measures within Snowflake, such as role-based access control, data masking, and encryption.

Create and maintain documentation for data models, developed reports and Snowflake configurations.

Optimize Snowflake data warehouse performance, storage, and query efficiency.

Required Skills:

Strong understanding of Oracle and Snowflake database concepts, including data modeling, SQL, stored procedures and data types

Hands-on experience with Snowflake, including data modeling, performance tuning, and role-based access control.

Proficiency with reporting tools like Power BI, Excel integrations, or ODBC/JDBC-based access.

Knowledge of ETL tools (e.g., Informatica) is a plus.

Strong proficiency in SQL and experience working with large datasets.

Experience in migrating reporting workloads from legacy platforms to cloud-based solutions.

Solid understanding of BI tools and their integration with Snowflake.

Familiarity with AWS Redshift Cloud Data warehouse is a plus.

Familiarity with Snowflake Data sharing, Snowpipe and Snowpark.

Background in financial or government enterprise data environments preferred.

Strong problem-solving and documentation skills