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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing data processing workflows, leveraging Databricks and SQL for data pipeline development. Strong understanding of data architecture principles, including Lakehouse and medallion architecture, with a focus on compliance and security integration.
Highest-signal resume keywords
Databricks ETL DevelopmentAdvanced SQL ProgrammingPySpark ProficiencyLakehouse Architecture UnderstandingSOX Compliance Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignData Warehouse DevelopmentSQL ProgrammingPySparkETL ToolsModel Context Protocol (MCP)LLM Model IntegrationREST API IntegrationDistributed DatabasesData Lake Solutions
Soft Skills
Analytical SkillsTroubleshooting SkillsPlanning SkillsOrganizational SkillsLeadership SkillsCommunication Skills
Tools & Technologies
DatabricksAWS GlueDelta LakeIcebergRedshiftSnowflake
Certifications & Qualifications
Bachelor's Degree in Computer Science
Industry Keywords
Data Processing WorkflowsEnterprise Data WarehouseMedallion ArchitectureBig Data SolutionsInfrastructure Modernization
Tech Stack
Tools & technologiesAmazon RedshiftAWSETLPySparkSnowflakeSQL
About the role
Key responsibilities & impact- Design and develop data processing and storage workflows
- Collaborate with engineers to integrate datasets into end-to-end solutions
- Build and enhance the Enterprise Data Warehouse using Kimball methodologies and medallion architecture
- Estimate, track, and complete deliverables
- Provide production support with occasional after-hours availability
- Collaborate with Data Intelligence, Platform Infrastructure, and source system data teams on big data solutions
- Partner with stakeholders across FactSet on strategic projects leveraging the Data Lake
- Contribute to infrastructure modernization from SQL to Databricks and AI-based solutions
- Integrate security and SOX compliance into solution design and implementation
Requirements
What you’ll need- Bachelor’s degree, preferably in Computer Science, or equivalent professional experience
- 5+ years of hands-on experience designing and implementing data pipelines using Databricks or similar ETL tools such as AWS Glue
- 2+ years of experience in advanced SQL programming with large data sets
- Strong hands-on experience in SQL and PySpark
- Knowledge of Model Context Protocol (MCP) and its concepts
- Strong understanding of LLM models, including capabilities, limitations, model selection, and integration into GenAI applications
- Understanding of Lakehouse architecture using Delta Lake or Iceberg
- Understanding of REST API integrations, key-value data stores, and caching technologies
- Understanding of core concepts of distributed databases such as Redshift and Snowflake
- Strong technical, analytical, troubleshooting, planning, organization, leadership, and communication skills
- Occasional after-hours availability for production support
Benefits
Comp & perks- Health, life, and disability insurance
- Retirement savings plans
- Discounted employee stock purchase program
- Paid time off for holidays
- Family leave
- Company-wide wellness days
- Flexible work accommodations
- Volunteerism and sustainability community
- Career progression planning
- Dedicated time each month for learning and development
- Business Resource Groups open to all employees