Data Engineer 3

Develop and maintain data structures and pipelines to standardize and transform data for analytics and reporting needs

Write efficient SQL queries and transformations to support reliable data processing

Ensure data quality across ingestion, processing, and loading into target tables

Build ingestion frameworks for structured and unstructured data with validation and quality checks

Establish data consumption methods for end users and downstream applications such as views and APIs

Implement data solutions on platforms like Snowflake and Databricks in alignment with architectural standards

Use cloud storage and processing technologies such as AWS S3, Iceberg, and Snowflake based on data requirements

Define and maintain data lineage and transformation logic for troubleshooting and impact analysis

Collaborate with stakeholders to improve data sourcing, processing efficiency, and overall data quality

Support and mentor junior data engineers through knowledge sharing and technical guidance

• Contribute to the improvement of internal data engineering tools, frameworks, and automation to enhance efficiency and scalability