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Cloud Data Engineer

2 months ago

White Marsh, United States Mariner Finance Full time

This is a hybrid role that is required to be in the office 2x/ week.****

Position:

Cloud Data Engineer

Supervisory Responsibility: None

In This Role, You Will…

Design and implement our enterprise cloud infrastructure, software, and integrations. As a key member of a highly productive team, you will provide experience and expertise to deliver cutting-edge solutions. This position consists of designing, developing, and maintaining the enterprise cloud architecture.

Responsibilities:

Leads the hands-on technical delivery of new services and capabilities within the AWS environment. Manages the AWS Cloud Infrastructure and assists in the maintenance of the SQL Server environment, identifying and troubleshooting faults as well as providing recommendations to ensure proper utilization. Gathers and processes raw data from multiple disparate sources (including writing scripts, calling APIs, writing SQL queries, etc.) into a form suitable for data warehousing and machine learning. Reviews and interprets ongoing business requirements. Researches required data and builds appropriate deliverables. Refactors or develops relational data models, dimensional data models, data dictionaries, and necessary metadata using Amazon Redshift in AWS. Researches and proposes opportunities for data acquisition and new uses for existing data. Codes, tests, and documents new or modified data systems to create robust and scalable data/machine learning models for analytics. Contributes to the design and direction of enterprise-wide data architecture as well as design documentation deliverables. Completes projects, prioritizes tasks, and provides frequent progress reports with limited direction from team leads based on company needs. Creates supporting technical and functional documentation, including data flow diagrams, and provides support for deployed solutions. Working both independently and in collaboration with our application developers and data analysts, designs and builds high-performance algorithms, prototypes, predictive models, and proof of concepts using SageMaker and other modeling tools. Identifies and implements process improvements through the design and implementation of policies, procedures, standardized documentation, and analytics infrastructure to enforce industry best practices. Collaborates with Quality Assurance team and subject matter experts to ensure valid and proper deliverables. Supports business decisions with ad hoc analysis as needed. Explains tasks and processes in a clear and concise manner that can be consumed and understood to non-technical business associates. Participates in rotation of after-hours support. Cultivates business relationships with stakeholders. May perform additional functions depending on market demand and branch staffing in order to provide consistent quality customer service.

Required Qualifications:

Bachelor’s degree in a related discipline (Computer Science, Information Systems Management, Engineering, or similar) or equivalent work experience. Advanced Expertise with AWS services such as EC2, Redshift, S3, SageMaker, Lambda, Matillion, and API Gateway. Expertise with building and enhancing Machine Learning Models in SageMaker/Python. Advanced SQL Query, ETL/ELT/LET, and Data Architecture experience. Broad experience in building out VPCs, subnets, and network routing on AWS. Experience using Microsoft SQL Server, SSIS, SSAS, SSRS (Reporting Services), PowerBI Dashboards, and OLAP services. Ability to quickly identify and troubleshoot problematic faults in data pipelines and infrastructure. Ability to design tables, data-marts, and/or databases to suit business needs. Knowledge of data mapping, data integration, database design, and data warehouse concepts. Experience with Jira, Bitbucket, and GitKraken with a good understanding of Git. Desire and ability to learn emerging technologies and methodologies. Ability to interpret requests and requirements in order to build appropriate automated solutions. Ability to work with shifting deadlines in a fast-paced environment. Strong computer skills including Microsoft Office (Visio, Excel, Word, & Outlook). Strong attention to detail, interpersonal skills, and notation skills.

Preferred Qualifications:

AWS Certifications. Glue and Comprehend.

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit for extended periods; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to twenty (20) pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.

IND3

Mariner Finance is an Equal Opportunity Employer and does not discriminate on the basis of race, color, sex, marital status, age, religion, national origin, sexual orientation, disability, or status as a disabled or Vietnam era veteran. Drug/Alcohol/Smoke-free workplace.

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