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Data Engineer II
Honeywell Aerospace TechnologiesCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining ELT/ETL pipelines using Snowflake, SQL, and Python, while ensuring data quality and operational excellence. Proficient in collaborating with finance teams to translate business logic into effective data models and transformations.
Highest-signal resume keywords
Snowflake Data ModelingAdvanced SQL SkillsPython Data ProcessingDataiku and Databricks ExperienceCI/CD and GitHub Actions
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build and maintain ELT/ETL pipelines ingesting financial systems, ERP/CRM, files, and APIs into Snowflake
- Develop SQL and Python transformations in Dataiku and Databricks
- Produce reusable finance data marts and subject-area tables
- Automate and orchestrate workflows, including scheduling, dependency management, alerts, logging, and monitoring
- Publish performant Snowflake views and semantic layers for Tableau analytics
- Optimize Snowflake query patterns, warehouses, micro-partitions, caching, clustering, and cost-efficient configurations
- Implement data validation, reconciliations, lineage documentation, and access controls for PII and financial data
- Gather requirements from Finance/FP&A, Accounting, and business analysts
- Translate period close, variance analysis, and forecasting metrics into data models and pipelines
- Manage code in Git, conduct reviews, write unit/integration tests, and promote changes through development, test, and production environments
- Modernize manual and Excel processes into automated, auditable pipelines
- Prototype utilities and frameworks in Python
Requirements
What you’ll need- US Citizen status
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or related field (or equivalent experience)
- 3–5 years of professional data engineering experience
- 2+ years with Snowflake, including data modeling, SQL performance, and warehouse administration
- Advanced SQL skills
- Practical Python skills for data processing and automation
- Hands-on experience with Dataiku and Databricks for pipeline development and orchestration
- Experience preparing datasets for Tableau consumption
- Familiarity with semantic layers, live versus extract strategies, and performance best practices
- Ability to partner with Finance/FP&A teams and translate business logic into reproducible data transformations
- Strong documentation habits, communication skills, and commitment to data quality and operational excellence
- Exposure to Azure, AWS, or GCP and data services
- Experience with secrets management and resource cost optimization
- Familiarity with Snowflake Streams, Tasks, and Dynamic Tables
- Experience with CI/CD, GitHub Actions or Azure DevOps, pytest/unit testing, and environment promotion
- Knowledge of data governance, including cataloging, lineage, roles/policies, and financial data controls
- Background in finance concepts including GL, P&L, balance sheet, budgeting, and forecasting
Benefits
Comp & perks- Employer-subsidized Medical, Dental, Vision, and Life Insurance
- Short-Term and Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- Health Savings Accounts
- Employee Assistance Program (EAP)
- Educational Assistance
- Parental Leave
- Paid Time Off for vacation, personal business, sick time, and parental leave
- 12 Paid Holidays
- Performance-driven salary
- Cutting-edge work and collaboration with dedicated experts
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ELT/ETL Pipeline DevelopmentSQL Performance OptimizationData TransformationData Validation and ReconciliationUnit/Integration Testing
Soft Skills
Strong Documentation HabitsEffective Communication SkillsCommitment to Data Quality
Tools & Technologies
SnowflakeDataikuDatabricksTableauAzure DevOps
Industry Keywords
Financial DataData GovernanceFinance ConceptsGLP&L