Salesforce Data Architect designing and optimizing enterprise - grade data architectures across Salesforce platforms. Collaborating with team members to ensure data quality and readiness for analytics.
About the role
- Full Stack Data Engineer at Morgan Stanley, developing innovative data solutions. Engage with global teams in a hybrid work environment.
Responsibilities
- Build end-to-end systems from data sourcing to calculations to reporting
- Utilize cutting-edge big data technologies for ingestion and loading
- Interact with remote teams across the globe
- Follow agile development methodology with a focus on test driven development and DevOps best practices
Requirements
- 4 to 8 years of experience in data engineering
- Proficient in Java/Scala, Python, and SQL
- Experience with large-scale data processing engines like Apache Spark
- Familiarity with cloud technologies such as Azure Databricks
- Knowledge in ETL/ELT development using Airflow
- Experience with database technologies: Snowflake, DB2, Teradata
- Skilled in DevOps automation and CI/CD pipelines
- Knowledge of Power BI reporting is a plus
- Experience with machine learning and GenAI is a big plus
Benefits
- Comprehensive employee benefits
- Supportive and inclusive environment
- Opportunities for career advancement
- Work-life balance initiatives
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Degree requirement
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