Enterprise Data Platform Engineer, Aladdin Data, Associate

Job Description

Responsibilities Actively participate in chapter ceremony meetings and contribute to project planning and estimation. Coordinate work with product managers, data owners, platform teams, and other stakeholders throughout the SDLC cycle. Use Airflow, Python, Snowflake, dbt, and related technologies to enhance and maintain EDP acquisition, ingestion, processing, orchestration and DQ frameworks. Adopt new tools and technologies to enhance framework capabilities. Build and conduct end-to-end tests to ensure production operations run successfully after every release cycle. Document and present accomplishments and challenges to internal and external stakeholders. Demonstrate deep understanding of modern data engineering tools and best practices. Design and build solutions which are performant, consistent, and scalable. Contribute to design decisions for complex systems. Provide L2 / L3 support for technical and/or operational issues. Qualifications At least 5+ years experience as a data engineer Expertise with SQL, stored procedures, UDFs Advanced level Python programming or Advanced Core Java programming. Experience with Snowflake or similar cloud native databases Experience with orchestration tools, especially Airflow Experience with declarative transformation tools like dbt Experience in Azure services, especially ADLS (or equivalent) Exposure to real time streaming platforms and message brokers (e.g., Snowpipe Streaming, Kafka) Experience with Agile development concepts and related tools (ADO, Aha) Experience conducting root cause analysis and solve issues Experience with performance tuning Excellent written and verbal communication skills Ability to operate in a matrixed organization and fast-paced environment Strong interpersonal skills with a can-do attitude under challenging circumstances Bachelors degree in computer science is strongly preferred