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Data Engineer II
Honeywell Aerospace Technologies. Design, develop, and maintain data pipelines and ETL processes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining data pipelines and ETL processes, with proficiency in data warehousing tools and big data technologies. Strong analytical skills and a commitment to data quality and integrity are essential for optimizing data delivery and supporting organizational goals.
Highest-signal resume keywords
Data Engineering ExperienceETL ProficiencyBig Data TechnologiesDatabase Management SystemsAnalytical Problem-Solving
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 DevelopmentETL ProcessesSQLData IntegrationPythonJavaScalaData ArchitectureData Quality AssuranceData Governance
Soft Skills
Analytical SkillsProblem-SolvingCollaborationLeadershipProcess Improvement
Tools & Technologies
HadoopSparkKafkaData Warehousing ToolsData Processing Systems
Industry Keywords
Data GovernanceData SecurityComplianceData IntegrityScalability
Tech Stack
Tools & technologiesETLHadoopJavaKafkaPythonScalaSparkSQL
About the role
Key responsibilities & impact- Design, develop, and maintain data pipelines and ETL processes
- Develop, construct, test, and maintain data architectures, including databases and large-scale processing systems
- Assemble large, complex data sets meeting functional and non-functional business requirements
- Identify, design, and implement internal process improvements, including automating manual processes and optimizing data delivery
- Redesign infrastructure for greater scalability
- Build infrastructure for extraction, transformation, and loading of data from diverse sources
- Collaborate with data scientists and architects on multiple projects
- Ensure data quality and integrity through testing and validation
- Monitor and troubleshoot data pipelines and systems for high availability and performance
- Support employee development, retention, engagement, recruiting, succession planning, and an inclusive culture as a people leader
Requirements
What you’ll need- Must be a US Citizen due to contractual requirements
- Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
- 2+ years of experience in data engineering or a related role
- Proficiency in data warehousing tools and technologies (ETL, SQL, data integration)
- Understanding of database management systems and data warehouse architectures
- Strong analytical and problem-solving skills
- Experience with big data technologies and platforms, such as Hadoop, Spark, and Kafka
- Proficiency in programming languages like Python, Java, or Scala
- Knowledge of data governance, security, and compliance
Benefits
Comp & perks- Employer-subsidized medical, dental, vision and life insurance
- Short-term and long-term disability coverage
- 401(k) match
- Flexible spending accounts
- Health savings accounts
- Employee assistance program
- Educational assistance
- Parental leave
- 12 paid holidays
- Paid time off for vacation, personal and sick time