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Senior Engineer
Bank of America. Define and lead the engineering approach for complex features to deliver significant business outcomes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in designing and implementing enterprise-scale data solutions, particularly with Hadoop and ETL technologies. Proven ability to lead engineering teams, manage complex projects, and ensure adherence to data architecture and security standards.
Highest-signal resume keywords
Hadoop DevelopmentETL Solutions DevelopmentCI/CD CapabilitiesData Architecture ExpertiseTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL ToolsHadoopSparkImpalaHivePythonSQLMapReduceUnix Shell ScriptingPerl Scripting
Soft Skills
CoachingMentoringCollaborationProblem-SolvingTechnical Guidance
Tools & Technologies
InformaticaCloudera Hadoop EcosystemKafkaHueOozieYarnSqoopFlumeAutosysCI/CD Pipelines
Industry Keywords
Enterprise Data SolutionsData GovernanceData Security StandardsPerformance RequirementsOperational Best Practices
Tech Stack
Tools & technologiesETLHadoopInformaticaKafkaMapReducePerlPythonSparkSQLUnixYarn
About the role
Key responsibilities & impact- Define and lead the engineering approach for complex features to deliver significant business outcomes
- Provide end-to-end technical leadership for design, development, implementation, and support of enterprise-scale data solutions for the Incentive Compensation Management platform
- Lead architecture, design, and development of scalable Hadoop and ETL solutions
- Provide technical direction and governance across the full software development lifecycle
- Translate complex business requirements into scalable and supportable technical solutions
- Drive high-level and detailed solution designs aligned with enterprise data architecture, security, performance, and operational standards
- Serve as the primary subject matter expert for Hadoop, ETL, and related data technologies
- Coach, mentor, and provide technical guidance to engineering teams across onshore and offshore locations
- Support production incident resolution, root cause analysis, preventative measures, and high-severity outage decisions
- Collaborate with Information Architecture, Infrastructure, Security, and Application Support teams on data solutions, roadmaps, and modernization
- Enable teams and applications with CI/CD capabilities
- Guide teams on high-performance code practices, pairing, and code reviews
- Deliver complex features and automation for one or multiple teams at program level
- Establish high-level solution needs with stakeholders and technical requirements with architects
- May manage associates and perform managerial responsibilities including coaching, risk management, budgeting, talent development, and business outcome delivery
Requirements
What you’ll need- 10+ years of experience developing ETL solutions using any ETL tool like Informatica
- 10+ years of experience developing applications using Hadoop, Spark, Impala, Hive & Python
- 10+ years of experience running, using and troubleshooting the ETL & Cloudera Hadoop Ecosystem, including Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, and Flume
- Experience with Autosys JIL scripting
- Proficient scripting skills in Unix shell and Perl scripting
- Knowledge of troubleshooting data-related issues
- Experience processing large amounts of structured and unstructured data with MapReduce
- Experience in SQL and relational database development of data extraction applications
- Experience with data movement and transformation technologies
- Experience with CI/CD capabilities and pipelines
- Experience with software design, development, testing, deployment, and production support
- Experience with enterprise data architecture, security standards, performance requirements, and operational best practices
Benefits
Comp & perks- Discretionary incentive eligible; participation in the annual discretionary plan
- Benefits eligible
- Access to paid time off
- Resources and support to employees
- Flexible benefits supporting physical, emotional, and financial wellness