Enterprise Data Platform Engineer, Aladdin Data, Associate

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