Assoc, P3, Software Eng Iii : Job Level - Associate
Morgan Stanley
Python programming skills
Snowflake data warehousing
Dbt for data modeling
Design, build, and maintain scalable ETL/ELT pipelines using Apache Airflow, develop and optimize cloud data warehousing solutions on Snowflake, and implement analytics engineering best practices using dbt
Job Summary
Design, build, and maintain scalable ETL/ELT pipelines using Apache Airflow, develop and optimize cloud data warehousing solutions on Snowflake, and implement analytics engineering best practices using dbt.
Write clean, efficient, and maintainable Python code for data ingestion, transformation, orchestration, and automation tasks, ensuring data quality and reliability through validation, automated testing, and observability/monitoring.
At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered, with ample opportunity to move about the business.
Matching Summary
Design, build, and maintain scalable ETL/ELT pipelines using Apache Airflow, develop and optimize cloud data warehousing solutions on Snowflake, and implement analytics engineering best practices using dbt.
Skills & Requirements
Must-have
Python programming skills
Snowflake data warehousing
dbt for data modeling
Apache Airflow for orchestration
Git-based workflows
Nice-to-have
Power BI dashboards
AI/ML use cases
Kafka streaming support
Great Expectations data quality
Key Requirements
3-5 years of professional experience in Data Engineering
Hands-on experience with Snowflake, dbt, and Apache Airflow
Strong programming skills in Python
Solid understanding of data engineering concepts
Strong SQL skills
Working knowledge of Git-based development workflows