Address
Form of workJob Title: Data Engineer with AWS
Location: Wilmington, DE – Relocating candidate will work
Duration: 12 Months Contract to Hire
Client: Banking
USC and GC only
Job Family Description: Expert in in Amazon Web Services and Client Azure technology and design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs (e.g., Expert Engineers) starting to be firm-wide resources working on projects across Client
§ Is multi-skilled with expertise across software development lifecycle and toolset
§ May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
§ Sought out as coach for at least one technical skill
§ Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test
Driven Development, Cloud Development, resiliency, security
§ Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business; may give speeches and outside the firm, writes articles
Roles and Responsibilities: Required qualifications, capabilities, and skills
• 5+ years of professional experience.
Data Engineer with AWS Certificate.
Expertise with Python/Pyspark.
• Strong written, verbal communication and presentation skills.
• Expertise in AWS – e.g. Glue, EMR, S3, Lambda, Step functions, EventBridge, Data Analytics.
• Software Development expertise in Java/Python/Spark/Scala.
• Strong understanding of Database Management Systems, and expertise in SQL.
• Professional in SDLC Tools: Bitbucket/Git, Jenkins, Jules.
• Ability to maintain stakeholder expectations and being able to juggle multiple priorities.
• Experience in Data Lake, Data Bases, and Data modeling.
• Familiarity with Agile methodologies such as Scrum, Kanban, SAFe
• Ability to work independently and be self-motivated
• Fast learner and ability to solve complex problems
Preferred qualifications, capabilities, and skills
• Expertise with BI Reporting Tools such as Tableau, PowerBI, Qlikview/Qliksense
Programming Languages Data Modeling No 9 Intermediate 7-8 Currently Using
Additional Skills: • Expertise in AWS – e.g. Glue, EMR, S3, Lambda, Step functions, EventBridge, Data Analytics
• Software Development expertise in Java/Python/Spark/Scala
Location: Wilmington, DE – Relocating candidate will work
Duration: 12 Months Contract to Hire
Client: Banking
USC and GC only
Job Family Description: Expert in in Amazon Web Services and Client Azure technology and design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs (e.g., Expert Engineers) starting to be firm-wide resources working on projects across Client
§ Is multi-skilled with expertise across software development lifecycle and toolset
§ May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
§ Sought out as coach for at least one technical skill
§ Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test
Driven Development, Cloud Development, resiliency, security
§ Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business; may give speeches and outside the firm, writes articles
Roles and Responsibilities: Required qualifications, capabilities, and skills
• 5+ years of professional experience.
Data Engineer with AWS Certificate.
Expertise with Python/Pyspark.
• Strong written, verbal communication and presentation skills.
• Expertise in AWS – e.g. Glue, EMR, S3, Lambda, Step functions, EventBridge, Data Analytics.
• Software Development expertise in Java/Python/Spark/Scala.
• Strong understanding of Database Management Systems, and expertise in SQL.
• Professional in SDLC Tools: Bitbucket/Git, Jenkins, Jules.
• Ability to maintain stakeholder expectations and being able to juggle multiple priorities.
• Experience in Data Lake, Data Bases, and Data modeling.
• Familiarity with Agile methodologies such as Scrum, Kanban, SAFe
• Ability to work independently and be self-motivated
• Fast learner and ability to solve complex problems
Preferred qualifications, capabilities, and skills
• Expertise with BI Reporting Tools such as Tableau, PowerBI, Qlikview/Qliksense
Programming Languages Data Modeling No 9 Intermediate 7-8 Currently Using
Additional Skills: • Expertise in AWS – e.g. Glue, EMR, S3, Lambda, Step functions, EventBridge, Data Analytics
• Software Development expertise in Java/Python/Spark/Scala
