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Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformJavaPythonScalaSQL
About the role
Key responsibilities & impact- Manage and maintain Snowflake databases, including performance monitoring, cost optimization, troubleshooting and backups
- Design and develop automated data pipelines using Fivetran and other ETL tools, integrating data from various business systems, BlackRock warehouses, APIs and external sources
- Implement robust data validation, cleaning and transformation processes to ensure data quality, accuracy and reliability
- Monitor and tune data pipelines for performance, scalability and cost efficiency
- Design and implement logical and physical data models to support BlackRock stakeholders’ analytical and reporting needs
- Create ER diagrams, data flow diagrams and other visualizations to represent data models and workflows
- Develop and enforce data modeling best practices and standards
- Optimize data models for query performance, ensuring efficient data retrieval across large datasets
- Partner with BlackRock business and corporate technology teams to translate business requirements into technical solutions
- Train and support end users on Snowflake capabilities, data access and reporting tools
- Collaborate with vendors and cross-functional teams to troubleshoot issues, deliver enhancements and implement new features
Requirements
What you’ll need- Bachelor’s degree in computer science, data science, software engineering, information systems or related quantitative field (master’s degree preferred)
- Minimum of 3-5 years’ experience in data engineering, including data integration, modeling, optimization and data quality
- Proven experience designing, developing and maintaining data warehouses using Snowflake in a production environment
- Experience working in financial services or private markets (preferred)
- Strong SQL skills for querying, data manipulation and performance optimization
- Proficiency with modern ETL/ELT tools (e.g., Fivetran, dbt, ADF)
- Expertise in data modeling concepts (relational, dimensional and star schema)
- Proficiency in Python, Java or Scala for data engineering tasks
- Knowledge of cloud services (AWS, Azure GCP) and data integration within cloud ecosystems
- Strong problem-solving and debugging skills; ability to identify and resolve performance bottlenecks
- Excellent communication skills, including the ability to collaborate effectively across technical and business teams
- Familiarity with data governance, security and compliance standards.
Benefits
Comp & perks- Comprehensive healthcare
- Leave benefits
- Retirement benefits
- Flexible Time Off (FTO)
- Tuition reimbursement
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
SnowflakeETLFivetranSQLPythonJavaScaladata modelingdata validationdata optimization
Soft Skills
problem-solvingcommunicationcollaborationtrainingtroubleshootingperformance monitoringcost optimizationdata qualityanalytical skillsinterpersonal skills