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Senior Security Software Engineer – Data, Assistant Vice President
State StreetSenior Data Engineer at a major bank responsible for data engineering across on-prem and cloud. Collaborate on distributed systems and shape data engineering future with AI development.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering, focusing on building and optimizing scalable data pipelines and architectures in both on-prem and cloud environments. Proficient in advanced SQL, scripting, and utilizing data platforms to enable data-driven decision-making.
Highest-signal resume keywords
Data EngineeringAzure CloudAWS CloudAdvanced SQLETL Pipelines
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 OptimizationData ArchitectureData ModelingAdvanced ScriptingProduction-Grade ETLRelational DatabasesAPIsAI-Assisted DevelopmentSpec-Driven DevelopmentStructured and Unstructured Data
Soft Skills
Communication SkillsProblem Solving
Tools & Technologies
PowerBIDatabricksSnowflakeGITCI/CD PipelinesJira
Industry Keywords
CybersecurityIT InfrastructureData-Driven DecisionsEnterprise Infrastructure
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityDistributed SystemsETLMS SQL ServerPythonSDLCSQL
About the role
Key responsibilities & impact- Take technical ownership of all data engineering aspects across on-prem and cloud products
- Enable internal customers to make data-driven decisions
- Provide high-quality data for internal customers
- Work with multiple internally developed distributed systems, portals and data warehouses
- Shape the future of data engineering with AI-assisted development techniques such as spec-driven development
- Collaborate with teams to solve problems at the crossroad of Cybersecurity & IT
Requirements
What you’ll need- 5+ years of experience in data engineering or data platform engineering
- Hands-on experience with on-prem and cloud (Azure and AWS) data environments
- Experience building and optimizing scalable data pipelines, architectures, data models and data sets (both structured and unstructured)
- Advanced SQL skills and experience with relational databases such as Microsoft SQL Server or similar
- Advanced scripting skills (Powershell or Python)
- Experience building production-grade ETL or ELT pipelines
- Experience with platforms like PowerBI, Databricks, Snowflake
- Understanding of enterprise infrastructure incl. servers, storage, networking, access control, and deployment environments
- Strong experience in working with APIs
- Very good communication skills and ability to translate non-technical requirements into robust solutions
- Good understanding and proficiency working with SDLC tooling such as GIT, CI/CD pipelines, Jira
Benefits
Comp & perks- Permanent contract from day one
- Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)
- Gold Medical Package for employees and their families (partner and children)
- Premium life insurance package and private pension plan
- Wide range of soft skills training, technical workshops, language classes and development programs
- Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice
- Variety of well-being programs
- Additional benefits available depending on the seniority of the role